{"id":13614,"date":"2025-06-04T15:09:32","date_gmt":"2025-06-04T19:09:32","guid":{"rendered":"http:\/\/dev.laplaceinsights.com\/?page_id=13614"},"modified":"2025-07-11T13:28:57","modified_gmt":"2025-07-11T17:28:57","slug":"research","status":"publish","type":"page","link":"https:\/\/dev.laplaceinsights.com\/fr\/research\/","title":{"rendered":"Research"},"content":{"rendered":"<div data-elementor-type=\"wp-page\" data-elementor-id=\"13614\" class=\"elementor elementor-13614\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6e90e35f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6e90e35f\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5ce6c9d3\" data-id=\"5ce6c9d3\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6cd503a7 elementor-widget elementor-widget-heading\" data-id=\"6cd503a7\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Our Scientific Publications<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e622242 elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"e622242\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-ad7d33a\" data-id=\"ad7d33a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-766745e elementor-widget elementor-widget-spacer\" data-id=\"766745e\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-42ff0a8 e-grid e-con-boxed e-con e-parent\" data-id=\"42ff0a8\" data-element_type=\"container\" data-settings=\"{&quot;container_type&quot;:&quot;grid&quot;,&quot;grid_columns_grid&quot;:{&quot;unit&quot;:&quot;fr&quot;,&quot;size&quot;:6,&quot;sizes&quot;:[]},&quot;grid_rows_grid&quot;:{&quot;unit&quot;:&quot;fr&quot;,&quot;size&quot;:1,&quot;sizes&quot;:[]},&quot;content_width&quot;:&quot;boxed&quot;,&quot;grid_outline&quot;:&quot;yes&quot;,&quot;grid_columns_grid_widescreen&quot;:{&quot;unit&quot;:&quot;fr&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;grid_columns_grid_laptop&quot;:{&quot;unit&quot;:&quot;fr&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;grid_columns_grid_tablet_extra&quot;:{&quot;unit&quot;:&quot;fr&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;grid_columns_grid_tablet&quot;:{&quot;unit&quot;:&quot;fr&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;grid_columns_grid_mobile_extra&quot;:{&quot;unit&quot;:&quot;fr&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;grid_columns_grid_mobile&quot;:{&quot;unit&quot;:&quot;fr&quot;,&quot;size&quot;:1,&quot;sizes&quot;:[]},&quot;grid_rows_grid_widescreen&quot;:{&quot;unit&quot;:&quot;fr&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;grid_rows_grid_laptop&quot;:{&quot;unit&quot;:&quot;fr&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;grid_rows_grid_tablet_extra&quot;:{&quot;unit&quot;:&quot;fr&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;grid_rows_grid_tablet&quot;:{&quot;unit&quot;:&quot;fr&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;grid_rows_grid_mobile_extra&quot;:{&quot;unit&quot;:&quot;fr&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;grid_rows_grid_mobile&quot;:{&quot;unit&quot;:&quot;fr&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;grid_auto_flow&quot;:&quot;row&quot;,&quot;grid_auto_flow_widescreen&quot;:&quot;row&quot;,&quot;grid_auto_flow_laptop&quot;:&quot;row&quot;,&quot;grid_auto_flow_tablet_extra&quot;:&quot;row&quot;,&quot;grid_auto_flow_tablet&quot;:&quot;row&quot;,&quot;grid_auto_flow_mobile_extra&quot;:&quot;row&quot;,&quot;grid_auto_flow_mobile&quot;:&quot;row&quot;}\" data-core-v316-plus=\"true\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a4c124c elementor-widget elementor-widget-button\" data-id=\"a4c124c\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/dev.laplaceinsights.com\/fr\/research-regime-intelligence\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Regime Intelligence\u200b<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e9401fe elementor-widget elementor-widget-button\" data-id=\"e9401fe\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/dev.laplaceinsights.com\/fr\/research-probabilistic-forecasting\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Probabilistic Forecasting\u200b<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1708bff elementor-widget elementor-widget-button\" data-id=\"1708bff\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/dev.laplaceinsights.com\/fr\/research-neural-network\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Neural Networks\u200b<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2c565cf elementor-widget elementor-widget-button\" data-id=\"2c565cf\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/dev.laplaceinsights.com\/fr\/research-causal-relationships\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Causal Relationships\u200b<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c19b1eb elementor-widget elementor-widget-button\" data-id=\"c19b1eb\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/dev.laplaceinsights.com\/fr\/research-model-interpretation\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Model Interpretation\u200b<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-245bd1e elementor-widget elementor-widget-button\" data-id=\"245bd1e\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/dev.laplaceinsights.com\/fr\/research-tail-risk-modeling\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Tail Risk Modeling\u200b<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-677f006 elementor-widget elementor-widget-spacer\" data-id=\"677f006\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-a8bf9ef elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a8bf9ef\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-847619b\" data-id=\"847619b\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b30f333 elementor-widget elementor-widget-spacer\" data-id=\"b30f333\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8739716 elementor-align-right elementor-widget elementor-widget-button\" data-id=\"8739716\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-size-lg\" role=\"button\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">MODEL INTERPRETATION<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8e14cd7 elementor-widget elementor-widget-heading\" data-id=\"8e14cd7\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">A Survey of Explainable AI Methods for Financial Time Series Forecasting<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0e1a1c0 elementor-widget elementor-widget-spacer\" data-id=\"0e1a1c0\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fc3dbcf elementor-widget elementor-widget-text-editor\" data-id=\"fc3dbcf\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Pierre-Daniel Arsenault, Jean-Marc Patenaude and Shengrui Wang<\/p>\n<p>Published by the Association for Computing Machinery (ACM 2025)<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-193e11d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"193e11d\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-d704d26\" data-id=\"d704d26\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-10621db elementor-widget elementor-widget-image\" data-id=\"10621db\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"255\" height=\"80\" src=\"https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/acm_logo_tablet.svg\" class=\"attachment-large size-large wp-image-13954\" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-a09c40c\" data-id=\"a09c40c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-611911a elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"611911a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>This survey explores how explainable AI (XAI) techniques\u2014such as SHAP, LIME, and interpretable models like attention-based LSTMs and decision trees\u2014are applied to financial time series forecasting tasks like stock price prediction, volatility analysis, and algorithmic trading. By enhancing transparency and trust, these XAI approaches help financial professionals better understand model decisions, align predictions with market behavior, and support more informed investment strategies<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<div class=\"elementor-element elementor-element-cfb3061 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"cfb3061\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-xl\" href=\"http:\/\/dev.laplaceinsights.com\/fr\/mp-files\/a-survey-of-explainable-ai-methods-for-financial-time-series-forecasting.pdf\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon elementor-align-icon-left\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"far fa-file-pdf\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Dowload PDF<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-d9d7c13 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"d9d7c13\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-24955f8\" data-id=\"24955f8\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-bbfcf68 elementor-widget elementor-widget-spacer\" data-id=\"bbfcf68\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-289ab76 elementor-align-right elementor-widget elementor-widget-button\" data-id=\"289ab76\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-size-lg\" role=\"button\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\"> REGIME INTELLIGENCE<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0cbf0f3 elementor-widget elementor-widget-heading\" data-id=\"0cbf0f3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Regime Switching Model with Nonlinear Representation for \nDiscovery and Forecasting Regimes in Financial Markets\n<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8c288d5 elementor-widget elementor-widget-spacer\" data-id=\"8c288d5\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8484f20 elementor-widget elementor-widget-text-editor\" data-id=\"8484f20\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Kunpeng Xu, Lifei Chen, Jean-Marc Patenaude and Shengrui Wang<\/p><p>Presented at the Society for Industrial and Applied Mathematics Conference (SIAM 2024)<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-d4c679b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"d4c679b\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-c78b372\" data-id=\"c78b372\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ef01b7f elementor-widget elementor-widget-image\" data-id=\"ef01b7f\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"350\" height=\"46\" src=\"https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/siam-logo.svg\" class=\"attachment-large size-large wp-image-13955\" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-0a122c4\" data-id=\"0a122c4\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6b2ba91 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"6b2ba91\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><em class=\"selection-contrast\">This paper introduces<\/em> <em class=\"selection-contrast\">a new type of regime-switching model that uses nonlinear kernel-based representations to automatically detect and forecast shifts in financial market behavior across multiple time series. Its key innovation lies in uncovering hidden, time-varying patterns without prior knowledge of regimes\u2014making it highly relevant for financial applications like volatility forecasting, risk assessment, and market trend analysis.<\/em><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<div class=\"elementor-element elementor-element-96640fe elementor-align-center elementor-widget elementor-widget-button\" data-id=\"96640fe\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-xl\" href=\"http:\/\/dev.laplaceinsights.com\/fr\/mp-files\/regime-switching-model-with-nonlinear-representation-for-discovering-and-forecasting-regimes-in-financial-markets.pdf\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon elementor-align-icon-left\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"far fa-file-pdf\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Dowload PDF<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3a46b09 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3a46b09\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-35e677a\" data-id=\"35e677a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9b53452 elementor-widget elementor-widget-spacer\" data-id=\"9b53452\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a269dbd elementor-align-right elementor-widget elementor-widget-button\" data-id=\"a269dbd\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-size-lg\" role=\"button\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">PROBABILISTIC FORECASTING<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b60f445 elementor-widget elementor-widget-heading\" data-id=\"b60f445\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">A Forecasting Model with Robust and \nReduced Redundancy Latent Series\n<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-371603e elementor-widget elementor-widget-spacer\" data-id=\"371603e\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6cef8bb elementor-widget elementor-widget-text-editor\" data-id=\"6cef8bb\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Abdallah Aaraba , Shengrui Wang , and Jean-Marc Patenaude<\/p><p>Presented at the Asia-Pacific Conference on Knowledge Discovery and Data Mining (PAKDD-2024)<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-c45a0eb elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c45a0eb\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-deda88b\" data-id=\"deda88b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d5d99b4 elementor-widget elementor-widget-image\" data-id=\"d5d99b4\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"200\" height=\"96\" src=\"https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/logo-1-200x96-1.png\" class=\"attachment-large size-large wp-image-13956\" alt=\"\" srcset=\"https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/logo-1-200x96-1.png 200w, https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/logo-1-200x96-1-18x9.png 18w\" sizes=\"(max-width: 200px) 100vw, 200px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-f25b4db\" data-id=\"f25b4db\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-539d32a elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"539d32a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>This paper introduces a deep learning model that improves time series forecasting by learning compact, noise-resistant representations with minimal redundancy. Its key innovation\u2014a non-contrastive self-supervised learning method that improves accuracy and stability\u2014makes it especially useful in finance for predicting complex, interrelated trends like stock prices or economic indicators.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<div class=\"elementor-element elementor-element-e1b121a elementor-align-center elementor-widget elementor-widget-button\" data-id=\"e1b121a\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-xl\" href=\"http:\/\/dev.laplaceinsights.com\/fr\/mp-files\/fr3ls-a-forecasting-model-with-robust-and-reduced-redundancy-latent-series.pdf\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon elementor-align-icon-left\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"far fa-file-pdf\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Dowload PDF<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-a866d11 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a866d11\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-aefe191\" data-id=\"aefe191\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-29b9925 elementor-widget elementor-widget-spacer\" data-id=\"29b9925\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0c5dab1 elementor-align-right elementor-widget elementor-widget-button\" data-id=\"0c5dab1\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-size-lg\" role=\"button\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">REGIME INTELLIGENCE<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-074c0a4 elementor-widget elementor-widget-heading\" data-id=\"074c0a4\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Kernel Representation Learning with Dynamic Regime Discovery\nfor Time Series Forecasting<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8845510 elementor-widget elementor-widget-spacer\" data-id=\"8845510\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-51755bb elementor-widget elementor-widget-text-editor\" data-id=\"51755bb\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Kunpeng Xu, Lifei Chen, Jean-Marc Patenaude, and Shengrui Wang<\/p><p>Presented at the Asia-Pacific Conference on Knowledge Discovery and Data Mining (PAKDD-2024)<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-fcac724 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"fcac724\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-03896b5\" data-id=\"03896b5\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8d8ad9a elementor-widget elementor-widget-image\" data-id=\"8d8ad9a\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"200\" height=\"96\" src=\"https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/logo-1-200x96-1.png\" class=\"attachment-large size-large wp-image-13956\" alt=\"\" srcset=\"https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/logo-1-200x96-1.png 200w, https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/logo-1-200x96-1-18x9.png 18w\" sizes=\"(max-width: 200px) 100vw, 200px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-b3d16a9\" data-id=\"b3d16a9\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7b751d9 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"7b751d9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>This paper introduces a kernel-based self-representation learning method for discovering dynamic regimes in co-evolving time series, enabling more accurate and interpretable multi-step forecasting. In finance, this approach is particularly relevant as it captures nonlinear interactions and regime shifts\u2014such as market volatility or economic cycles\u2014without requiring prior knowledge, enhancing predictive modeling for complex financial systems.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<div class=\"elementor-element elementor-element-fb49e86 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"fb49e86\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-xl\" href=\"http:\/\/dev.laplaceinsights.com\/fr\/mp-files\/kernel-representation-learning-dynamic-regime-discovery.pdf\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon elementor-align-icon-left\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"far fa-file-pdf\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Dowload PDF<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e3d4a04 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e3d4a04\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-26bac15c\" data-id=\"26bac15c\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-bb89ba6 elementor-widget elementor-widget-spacer\" data-id=\"bb89ba6\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e867612 elementor-align-right elementor-widget elementor-widget-button\" data-id=\"e867612\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-size-lg\" role=\"button\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">TAIL RISK MODELING<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5105bb3 elementor-widget elementor-widget-heading\" data-id=\"5105bb3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Estimator Correction for the Pickands function and Bayesian Estimator <\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-af388ab elementor-widget elementor-widget-spacer\" data-id=\"af388ab\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-08f8fcc elementor-widget elementor-widget-text-editor\" data-id=\"08f8fcc\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Kevin Chalifoux<\/p><p>Master&#8217;s Thesis in Statistics, University of Montreal 2023<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-6f7ebc5 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6f7ebc5\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-4f9b84b\" data-id=\"4f9b84b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-bcd30eb elementor-widget elementor-widget-image\" data-id=\"bcd30eb\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"362\" src=\"https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Logo_UdeM-RVB-002.webp\" class=\"attachment-large size-large wp-image-13957\" alt=\"\" srcset=\"https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Logo_UdeM-RVB-002.webp 768w, https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Logo_UdeM-RVB-002-300x141.webp 300w, https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Logo_UdeM-RVB-002-18x8.webp 18w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-8871cc8\" data-id=\"8871cc8\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-203f6b8 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"203f6b8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>This thesis proposes a correction method and a Bayesian estimator for the Pickands dependence function, improving accuracy and ensuring mathematical validity in modeling extreme events. Applications in finance include modeling joint extreme events such as simultaneous market crashes or co-movements in asset returns, improving risk assessment in portfolio management, and stress testing by accurately capturing tail dependencies between financial instruments. (In French)<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<div class=\"elementor-element elementor-element-192ac54 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"192ac54\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-size-xl\" role=\"button\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon elementor-align-icon-left\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"far fa-file-pdf\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Dowload PDF<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-ec321f9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ec321f9\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-6a7b928\" data-id=\"6a7b928\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ea62c0d elementor-widget elementor-widget-spacer\" data-id=\"ea62c0d\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-caa0709 elementor-align-right elementor-widget elementor-widget-button\" data-id=\"caa0709\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-size-lg\" role=\"button\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">CAUSAL RELATIONSHIPS<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fbc7c5b elementor-widget elementor-widget-heading\" data-id=\"fbc7c5b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">A Framework to Detect Causal Relationships \nin Financial Time Series<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-df2879d elementor-widget elementor-widget-spacer\" data-id=\"df2879d\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-10641a6 elementor-widget elementor-widget-text-editor\" data-id=\"10641a6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Patrick Asante Owusu, Etienne Tajeuna, Jean-Marc Patenaude, Armelle Brun, and Shengrui Wang<\/p><p>Presented at the IEEE International Conference on Data Mining (ICDM 2023)<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-88c2e28 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"88c2e28\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-7a651fc\" data-id=\"7a651fc\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d9766dc elementor-widget elementor-widget-image\" data-id=\"d9766dc\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"816\" height=\"504\" src=\"https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/ICDM.png\" class=\"attachment-large size-large wp-image-14251\" alt=\"\" srcset=\"https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/ICDM.png 816w, https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/ICDM-300x185.png 300w, https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/ICDM-768x474.png 768w, https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/ICDM-18x12.png 18w\" sizes=\"(max-width: 816px) 100vw, 816px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-10106bc\" data-id=\"10106bc\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c8a0874 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"c8a0874\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>This paper presents a framework using a temporal bipartite graph to model dependencies in time series. It uses autoregressive models for pattern identification and graph-based learning to capture transitions. The method aims to detect causal relationships in financial time series, comparing its accuracy and execution time with traditional methods like Granger causality and PCMCI. Designed for scalability and interpretability, its potential applications include risk assessment, portfolio management, and market behavior analysis in finance.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<div class=\"elementor-element elementor-element-5098031 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"5098031\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-xl\" href=\"http:\/\/dev.laplaceinsights.com\/fr\/mp-files\/rethinking-temporal-dependencies-in-multiple-time-series-a-use-case-in-financial-data.pdf\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon elementor-align-icon-left\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"far fa-file-pdf\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Dowload PDF<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-94b169e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"94b169e\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-529f5a6\" data-id=\"529f5a6\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d027a82 elementor-widget elementor-widget-spacer\" data-id=\"d027a82\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8b24b01 elementor-align-right elementor-widget elementor-widget-button\" data-id=\"8b24b01\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-size-lg\" role=\"button\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">NEURAL NETWORKS<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d1707f1 elementor-widget elementor-widget-heading\" data-id=\"d1707f1\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Characterizing Financial Market Coverage using AI<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4781223 elementor-widget elementor-widget-spacer\" data-id=\"4781223\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-07f4292 elementor-widget elementor-widget-text-editor\" data-id=\"07f4292\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Jean Marie Tshimula, D\u2019Jeff K. Nkashama, Patrick Owusu, Marc Frappier, Pierre-Martin Tardif, Froduald Kabanza, Armelle Brun, Jean-Marc Patenaude, Shengrui Wang, Belkacem Chikhaoui<\/p><p>Published on ArXiv &#8211; 2023<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-b92799f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b92799f\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-d277f4d\" data-id=\"d277f4d\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-926645a elementor-widget elementor-widget-image\" data-id=\"926645a\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"803\" src=\"https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Logo-Arxiv-cornell-1024x803.png\" class=\"attachment-large size-large wp-image-14250\" alt=\"\" srcset=\"https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Logo-Arxiv-cornell-1024x803.png 1024w, https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Logo-Arxiv-cornell-300x235.png 300w, https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Logo-Arxiv-cornell-768x602.png 768w, https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Logo-Arxiv-cornell-15x12.png 15w, https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Logo-Arxiv-cornell.png 1030w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-59eea26\" data-id=\"59eea26\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-086a3f0 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"086a3f0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The paper uses AI to analyze thousands of YouTube videos from Bloomberg and Yahoo Finance, extracting financial insights through speech-to-text transcription and natural language processing. This helps identify key market trends, influential entities, and evolving narratives\u2014offering valuable tools for financial analysis and investment decision-making.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<div class=\"elementor-element elementor-element-72690c4 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"72690c4\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-xl\" href=\"http:\/\/dev.laplaceinsights.com\/fr\/mp-files\/characterizing-financial-market-coverage-using-artificial-intelligence.pdf\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon elementor-align-icon-left\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"far fa-file-pdf\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Dowload PDF<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-d1686a5 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"d1686a5\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-ee7efd0\" data-id=\"ee7efd0\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7d5d0e8 elementor-widget elementor-widget-spacer\" data-id=\"7d5d0e8\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7eabdfd elementor-align-right elementor-widget elementor-widget-button\" data-id=\"7eabdfd\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-size-lg\" role=\"button\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">REGIME INTELLIGENCE<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-12dc662 elementor-widget elementor-widget-heading\" data-id=\"12dc662\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Clustering-Based Cross-Sectional Regime Identification \nfor Financial Market Forecasting<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8f51e1c elementor-widget elementor-widget-spacer\" data-id=\"8f51e1c\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-68e06de elementor-widget elementor-widget-text-editor\" data-id=\"68e06de\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Rongbo Chen, Mingxuan Sun, Kunpeng Xu, Jean-Marc Patenaude, and Shengrui Wang<\/p><p>Presented at the International Conference on Database and Expert Systems Applications (DEXA 2022)<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-71fe832 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"71fe832\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-bc8bbf4\" data-id=\"bc8bbf4\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-68fb437 elementor-widget elementor-widget-image\" data-id=\"68fb437\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"640\" height=\"256\" src=\"https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Dexa2025-Logo-without-year.png\" class=\"attachment-large size-large wp-image-13961\" alt=\"\" srcset=\"https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Dexa2025-Logo-without-year.png 640w, https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Dexa2025-Logo-without-year-300x120.png 300w, https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Dexa2025-Logo-without-year-18x7.png 18w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-806f15a\" data-id=\"806f15a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-19306ae elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"19306ae\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>This paper presents a new method for forecasting financial markets by identifying different market &#8220;regimes&#8221; using clustering across multiple time series. It captures nonlinear relationships between assets and adapts to changing conditions, leading to more accurate predictions. This approach helps investors and analysts understand shifts in market behavior, improving portfolio management, risk assessment, and trading strategies.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<div class=\"elementor-element elementor-element-73778dd elementor-align-center elementor-widget elementor-widget-button\" data-id=\"73778dd\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-xl\" href=\"http:\/\/dev.laplaceinsights.com\/fr\/mp-files\/clustering-based-cross-sectional-regime-identification-for-financial-market-forecasting.pdf\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon elementor-align-icon-left\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"far fa-file-pdf\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Dowload PDF<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-77c6db1 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"77c6db1\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-16e5755\" data-id=\"16e5755\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d13b816 elementor-widget elementor-widget-spacer\" data-id=\"d13b816\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-388fdbf elementor-align-right elementor-widget elementor-widget-button\" data-id=\"388fdbf\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-size-lg\" role=\"button\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">REGIME INTELLIGENCE<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f159543 elementor-widget elementor-widget-heading\" data-id=\"f159543\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Dynamic Cross-sectional Regime Identification \nfor Financial Market Prediction<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3f13f1e elementor-widget elementor-widget-spacer\" data-id=\"3f13f1e\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3216a1f elementor-widget elementor-widget-text-editor\" data-id=\"3216a1f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Rongbo Chen, Kunpeng Xun, Jean-Marc Patenaude, Shengrui Wang<\/p><p>Presented at the IEEE Computers, Software and Applications Conference (COMPSAC 2022)<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-c14c1d9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c14c1d9\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-71ca910\" data-id=\"71ca910\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-66a4036 elementor-widget elementor-widget-image\" data-id=\"66a4036\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"47\" src=\"https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/compsac_headerlogos-e1640791498486.jpg\" class=\"attachment-large size-large wp-image-13962\" alt=\"\" srcset=\"https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/compsac_headerlogos-e1640791498486.jpg 300w, https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/compsac_headerlogos-e1640791498486-18x3.jpg 18w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-690429b\" data-id=\"690429b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-456c6ab elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"456c6ab\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>This paper proposes a novel model for financial market prediction that dynamically identifies cross-sectional regimes in multi-time-series data, allowing for the discovery of new market regimes as they emerge, rather than relying on a fixed set of pre-identified regimes. This is highly relevant in finance because it enhances the ability to detect structural market changes\u2014such as those during crises or bubbles\u2014improving prediction accuracy and offering better insights into market behavior through time-varying transition probabilities.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<div class=\"elementor-element elementor-element-3797f03 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"3797f03\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-xl\" href=\"http:\/\/dev.laplaceinsights.com\/fr\/mp-files\/dynamic-cross-sectional-regime-identification.pdf\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon elementor-align-icon-left\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"far fa-file-pdf\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Dowload PDF<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-2541091 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2541091\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5030c7a\" data-id=\"5030c7a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-17d6eec elementor-widget elementor-widget-spacer\" data-id=\"17d6eec\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ed89975 elementor-align-right elementor-widget elementor-widget-button\" data-id=\"ed89975\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-size-lg\" role=\"button\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">NEURAL NETWORKS<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e9fdd02 elementor-widget elementor-widget-heading\" data-id=\"e9fdd02\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Neural Forecasting at Scale<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-70b56ae elementor-widget elementor-widget-spacer\" data-id=\"70b56ae\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-42923db elementor-widget elementor-widget-text-editor\" data-id=\"42923db\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Philippe Chatigny , Shengrui Wang , Jean-Marc Patenaude , Boris N. Oreshkin<\/p><p>Published on ArXiv &#8211; 2021<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-4cfbbaf elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4cfbbaf\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-99cb532\" data-id=\"99cb532\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0f9e447 elementor-widget elementor-widget-image\" data-id=\"0f9e447\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"803\" src=\"https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Logo-Arxiv-cornell-1024x803.png\" class=\"attachment-large size-large wp-image-14250\" alt=\"\" srcset=\"https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Logo-Arxiv-cornell-1024x803.png 1024w, https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Logo-Arxiv-cornell-300x235.png 300w, https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Logo-Arxiv-cornell-768x602.png 768w, https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Logo-Arxiv-cornell-15x12.png 15w, https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Logo-Arxiv-cornell.png 1030w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-395b95d\" data-id=\"395b95d\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6f4b0d9 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"6f4b0d9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>This paper introduces N-BEATS(P), a scalable and memory-efficient deep learning architecture for univariate time series forecasting that significantly reduces computational costs while maintaining state-of-the-art accuracy. Its relevance in finance lies in its demonstrated ability to perform zero-shot forecasting on financial datasets\u2014such as stocks and ETFs\u2014enabling rapid, cost-effective deployment of predictive models across diverse financial instruments without retraining.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<div class=\"elementor-element elementor-element-75c08a4 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"75c08a4\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-xl\" href=\"http:\/\/dev.laplaceinsights.com\/fr\/mp-files\/neural-forecasting-at-scale.pdf\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon elementor-align-icon-left\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"far fa-file-pdf\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Dowload PDF<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-418aca1 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"418aca1\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4dc8a8a\" data-id=\"4dc8a8a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-bbaf2f6 elementor-widget elementor-widget-spacer\" data-id=\"bbaf2f6\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f0e6940 elementor-align-right elementor-widget elementor-widget-button\" data-id=\"f0e6940\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-size-lg\" role=\"button\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">NEURAL NETWORKS<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ab3351c elementor-widget elementor-widget-heading\" data-id=\"ab3351c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Spatiotemporal neural networks for forecasting financial time series<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0fb566a elementor-widget elementor-widget-spacer\" data-id=\"0fb566a\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-88fcc25 elementor-widget elementor-widget-text-editor\" data-id=\"88fcc25\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Philippe Chatigny, Jean-Marc Patenaude, Shengrui Wang<\/p><p>Published in the International Journal of Approximate Reasoning &#8211; Dec 2020<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-be8b79c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"be8b79c\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-e9a7c21\" data-id=\"e9a7c21\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-400852d elementor-widget elementor-widget-image\" data-id=\"400852d\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"220\" height=\"300\" src=\"https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/X0888613X-220x300.jpg\" class=\"attachment-medium size-medium wp-image-13963\" alt=\"\" srcset=\"https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/X0888613X-220x300.jpg 220w, https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/X0888613X-9x12.jpg 9w, https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/X0888613X.jpg 563w\" sizes=\"(max-width: 220px) 100vw, 220px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-621f446\" data-id=\"621f446\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1fa6df2 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"1fa6df2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>This paper proposes STANN, a spatiotemporal adaptive neural network that improves long-term forecasting of multivariate financial time series by dynamically adjusting its autoregressive order using an attention mechanism. Applied to investment fund data, STANN significantly enhances forecasting accuracy and supports more effective autonomous trading strategies in finance.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<div class=\"elementor-element elementor-element-2ece90a elementor-align-center elementor-widget elementor-widget-button\" data-id=\"2ece90a\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-xl\" href=\"http:\/\/dev.laplaceinsights.com\/fr\/mp-files\/spatio-temporal-adaptive-neural-networks-for-financial-time-series.pdf\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon elementor-align-icon-left\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"far fa-file-pdf\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Dowload PDF<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-86eaec2 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"86eaec2\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-08d12d4\" data-id=\"08d12d4\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5123a5b elementor-widget elementor-widget-spacer\" data-id=\"5123a5b\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dd3f1b0 elementor-align-right elementor-widget elementor-widget-button\" data-id=\"dd3f1b0\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-size-lg\" role=\"button\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">CAUSAL RELATIONSHIPS<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c5b6e49 elementor-widget elementor-widget-heading\" data-id=\"c5b6e49\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Financial Time Series Representation Learning<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c8beb7a elementor-widget elementor-widget-spacer\" data-id=\"c8beb7a\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3b163a6 elementor-widget elementor-widget-text-editor\" data-id=\"3b163a6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Philippe Chatigny, Jean-Marc Patenaude and Shengrui Wang<\/p><p>Published on ArXiv &#8211; 2020<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-50bcdd4 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"50bcdd4\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-fcdbb52\" data-id=\"fcdbb52\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0fc32ea elementor-widget elementor-widget-image\" data-id=\"0fc32ea\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"803\" src=\"https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Logo-Arxiv-cornell-1024x803.png\" class=\"attachment-large size-large wp-image-14250\" alt=\"\" srcset=\"https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Logo-Arxiv-cornell-1024x803.png 1024w, https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Logo-Arxiv-cornell-300x235.png 300w, https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Logo-Arxiv-cornell-768x602.png 768w, https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Logo-Arxiv-cornell-15x12.png 15w, https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Logo-Arxiv-cornell.png 1030w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-0a6a1f4\" data-id=\"0a6a1f4\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f9835a1 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"f9835a1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>This paper introduces an unsupervised deep generative model that improves financial time series forecasting by learning latent representations and inter-series relationships using a dynamic attention mechanism. This approach significantly enhances the accuracy of multi-asset forecasts, making it valuable for financial applications like ETF and mutual fund trajectory prediction.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<div class=\"elementor-element elementor-element-093d1bf elementor-align-center elementor-widget elementor-widget-button\" data-id=\"093d1bf\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-xl\" href=\"#\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon elementor-align-icon-left\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"far fa-file-pdf\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Dowload PDF<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-69b484b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"69b484b\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1f0b124\" data-id=\"1f0b124\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-99936bd elementor-widget elementor-widget-spacer\" data-id=\"99936bd\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-74ae59e elementor-align-right elementor-widget elementor-widget-button\" data-id=\"74ae59e\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-size-lg\" role=\"button\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">REGIME INTELLIGENCE<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-acbb848 elementor-widget elementor-widget-heading\" data-id=\"acbb848\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">A Variable-Order Regime Switching Model to Identify Significant Patterns in Financial Markets<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-76e5335 elementor-widget elementor-widget-spacer\" data-id=\"76e5335\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0e68c5a elementor-widget elementor-widget-text-editor\" data-id=\"0e68c5a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Philippe Chatigny, Rongbo Chen, Jean-Marc Patenaude and Shengrui Wang<\/p><p>Presented at the IEEE International Conference on Data Mining (ICDM 2018)<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-cba9236 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"cba9236\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-356111e\" data-id=\"356111e\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d7dc3fe elementor-widget elementor-widget-image\" data-id=\"d7dc3fe\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"217\" height=\"121\" src=\"https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Capture-decran-2025-07-07-141011.png\" class=\"attachment-large size-large wp-image-13964\" alt=\"\" srcset=\"https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Capture-decran-2025-07-07-141011.png 217w, https:\/\/dev.laplaceinsights.com\/wp-content\/uploads\/2025\/07\/Capture-decran-2025-07-07-141011-18x10.png 18w\" sizes=\"(max-width: 217px) 100vw, 217px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-c4860ad\" data-id=\"c4860ad\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d7d298a elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"d7d298a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>This paper presents t a variable-order regime switching framework that identifies and predicts financial market regimes by extracting statistically significant behavioral patterns from time series data. Applied to volatility forecasting of 200 S&amp;P 500 stocks, the model outperforms traditional regime-switching methods by offering interpretable insights into market dynamics and improving predictive accuracy.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<div class=\"elementor-element elementor-element-5d20669 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"5d20669\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-xl\" href=\"http:\/\/dev.laplaceinsights.com\/fr\/mp-files\/a-variable-order-regime-switching-model-to-identify-significant-patterns-in-financial-markets.pdf\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon elementor-align-icon-left\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"far fa-file-pdf\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Dowload PDF<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-81d0ea1 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"81d0ea1\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0236180\" data-id=\"0236180\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Our Scientific Publications Regime Intelligence\u200b Probabilistic Forecasting\u200b Neural Networks\u200b Causal Relationships\u200b Model Interpretation\u200b Tail Risk Modeling\u200b MODEL INTERPRETATION A Survey of Explainable AI Methods for Financial Time Series Forecasting Pierre-Daniel Arsenault, Jean-Marc Patenaude and Shengrui Wang Published by the Association for Computing Machinery (ACM 2025) This survey explores how explainable AI (XAI) techniques\u2014such as SHAP, &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/dev.laplaceinsights.com\/fr\/research\/\"> <span class=\"screen-reader-text\">Research<\/span> Lire la suite\u00a0\u00bb<\/a><\/p>","protected":false},"author":38,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/dev.laplaceinsights.com\/fr\/wp-json\/wp\/v2\/pages\/13614"}],"collection":[{"href":"https:\/\/dev.laplaceinsights.com\/fr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/dev.laplaceinsights.com\/fr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/dev.laplaceinsights.com\/fr\/wp-json\/wp\/v2\/users\/38"}],"replies":[{"embeddable":true,"href":"https:\/\/dev.laplaceinsights.com\/fr\/wp-json\/wp\/v2\/comments?post=13614"}],"version-history":[{"count":74,"href":"https:\/\/dev.laplaceinsights.com\/fr\/wp-json\/wp\/v2\/pages\/13614\/revisions"}],"predecessor-version":[{"id":14304,"href":"https:\/\/dev.laplaceinsights.com\/fr\/wp-json\/wp\/v2\/pages\/13614\/revisions\/14304"}],"wp:attachment":[{"href":"https:\/\/dev.laplaceinsights.com\/fr\/wp-json\/wp\/v2\/media?parent=13614"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}