{"id":578,"date":"2023-02-01T00:00:00","date_gmt":"2023-01-31T22:00:00","guid":{"rendered":"https:\/\/deaneconpol.rodoswebdesign.gr\/research-seminar-series-in-economic-sciences-2022-2023-the-role-of-artificial-intelligence-to-predict-the-energy-prices-early-warning-systems-with-machine-learning\/"},"modified":"2023-02-01T00:00:00","modified_gmt":"2023-01-31T22:00:00","slug":"research-seminar-series-in-economic-sciences-2022-2023-the-role-of-artificial-intelligence-to-predict-the-energy-prices-early-warning-systems-with-machine-learning","status":"publish","type":"post","link":"https:\/\/deaneconpol.uoa.gr\/en\/research-seminar-series-in-economic-sciences-2022-2023-the-role-of-artificial-intelligence-to-predict-the-energy-prices-early-warning-systems-with-machine-learning\/","title":{"rendered":"Research Seminar Series in Economic Sciences 2022 \u2013 2023: The role of Artificial Intelligence to predict the energy prices: Early Warning Systems with Machine Learning\ufeff"},"content":{"rendered":"<p>Research Seminar Series in Economic Sciences, 2022-2023 Speaker: Dr. Ilias Kampouris, \/Abu Dhabi University\/<\/p>\n<p>Webpage: https:\/\/www.adu.ac.ae\/study\/colleges\/college-of-business\/FacultyDetail\/dr-ilias-kampouris<\/p>\n<p>Title: \u201cThe role of Artificial Intelligence to predict the energy prices: Early Warning Systems with Machine Learning\u201d<\/p>\n<p>Date &amp; Time: Thursday, February 9th, 2023, 17:00 \u2013 18:30<\/p>\n<p>Webex Link: https:\/\/uoa.webex.com\/uoa\/j.php?MTID=m6f2d44769f2375bf2090852c432d9ac6<\/p>\n<p>Url: https:\/\/www.econ.uoa.gr\/ereynitika_seminaria_research_seminars\/<\/p>\n<p>Abstract: The COVID-19 pandemic has inflicted the global economy and caused substantial financial losses. The energy sector was heavily affected and resulted in energy prices massively tumbling. The Russian invasion of Ukraine has fueled the energy maker more volatile. In such uncertain contexts, an Early Warning System (EWS) would be efficient<br \/>\ncontribute to stabilizing market swings. It will leverage the ability to control operating costs and pave the way for smooth economic recovery.<br \/>\nWithin this framework, we deploy Machine Learning (ML) models to forecast energy equity prices by employing uncertainty indices as a proxy for predicting energy market volatility. We empirically examine the comparative effectiveness of prevalent ML models and conventional approaches (regression) to forecast the energy equity prices by utilizing the daily data from 1\/6\/2011 to 8\/1\/2022 for four US uncertainty and eight energy equity indices. Results show that the Nonlinear Autoregressive with External (Exogenous) parameters (NARX) of Neural Networks (NN) scored significantly better accuracy than all other (25) ML models and conventional approaches. The study outcomes are beneficial for policymakers, governments, market regulators, investors,<br \/>\nhedge and mutual funds, and corporations. They improve stakeholders&#039; resilience to exogenous shocks, blaze the recovery path, and provide evidence-based for asset allocation strategies.<\/p>\n<p>Organizers: Dimitris Kenourgios, Professor <\/p>\n<p>George Dotsis, Assoc. Professor<\/p>\n<p>Frago Kourandi, Assist. Professor <\/p>\n<p>Thank you.<\/p>\n<p>&gt;www.econ.uoa.gr<\/p>\n<p>&gt;LinkedIn<\/p>\n<p>Facebook<\/p>","protected":false},"excerpt":{"rendered":"<p>Research Seminar Series in Economic Sciences, 2022-2023 Speaker: Dr. Ilias Kampouris, \/Abu Dhabi University\/ Webpage: https:\/\/www.adu.ac.ae\/study\/colleges\/college-of-business\/FacultyDetail\/dr-ilias-kampouris Title: &#8220;The role of Artificial Intelligence to predict the energy prices: Early Warning Systems with Machine Learning&#8221; Date &#038; Time: Thursday, February 9th, 2023, 17:00 &#8211; 18:30 Webex Link: https:\/\/uoa.webex.com\/uoa\/j.php?MTID=m6f2d44769f2375bf2090852c432d9ac6 Url: https:\/\/www.econ.uoa.gr\/ereynitika_seminaria_research_seminars\/ Abstract: The COVID-19 pandemic has inflicted the [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[10],"tags":[],"class_list":["post-578","post","type-post","status-publish","format-standard","hentry","category-announcements"],"acf":[],"_links":{"self":[{"href":"https:\/\/deaneconpol.uoa.gr\/en\/wp-json\/wp\/v2\/posts\/578","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/deaneconpol.uoa.gr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/deaneconpol.uoa.gr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/deaneconpol.uoa.gr\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/deaneconpol.uoa.gr\/en\/wp-json\/wp\/v2\/comments?post=578"}],"version-history":[{"count":0,"href":"https:\/\/deaneconpol.uoa.gr\/en\/wp-json\/wp\/v2\/posts\/578\/revisions"}],"wp:attachment":[{"href":"https:\/\/deaneconpol.uoa.gr\/en\/wp-json\/wp\/v2\/media?parent=578"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/deaneconpol.uoa.gr\/en\/wp-json\/wp\/v2\/categories?post=578"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/deaneconpol.uoa.gr\/en\/wp-json\/wp\/v2\/tags?post=578"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}