AI Frontiers in Finance

“AI Frontiers in Finance” is a monthly online webinar series dedicated to “opening the black box” as to the technical foundations of “AI in Finance” research and providing a bridge to its practical implications and business applications. We want to raise awareness of the AI applications used in academic research and their potential for broader application. This way, the seminar will differ from others by combining expertise and fostering a dialogue that enriches both the academic and professional communities.

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Rewatch our Webinars

In our eighth session of the AI Frontiers in Finance Webinar, Sophia Kazinnik, Research Scholar at the Digital Economy Lab at Stanford University, presents her research on "Simulating the Survey of Professional Forecasters." The paper is discussed by Miguel Faria-e-Castro, Research Economist and Economic Policy Advisor at the St. Louis Fed.
AI Frontiers in Finance Session 8 | "Simulating the Survey of Professional Forecasters"
In our seventh session of the AI Frontiers in Finance Webinar, Anthony Cookson, Professor of Finance at the University of Colorado Boulder's Leeds School of Business, presents his research on "Market Signals from Social Media." The paper is discussed by Sascha Steffen, Professor of Finance and DWS Senior Chair in Finance at Frankfurt School of Finance & Management. #aifrontiers #financewebinar #researchinsights
AI Frontiers in Finance Session 7 | "Market Signals from Social Media"
In our sixth session of the AI Frontiers in Finance Webinar, Oliver Giesecke, a Research Fellow at Stanford University's Hoover Institution, presents his research on "Deep Learning for Corporate Bonds." The paper is discussed by Robbert-Jan ‘t Hoen, a quantitative Researcher at Robeco. #aifrontiers #financewebinar #researchinsights
AI Frontiers in Finance Session 6 | "Deep Learning for Corporate Bonds"
In our fifth session of the AI Frontiers in Finance Webinar, Marina Niessner, Assistant Professor of Finance at Indiana University’s Kelley School of Business, presents her research on "AI Personality Extraction from Faces: Labor Market Implications." The paper is discussed by Christos A. Makridis, CEO and founder of Dainamic, a technology startup focused on democratizing data science and AI applications for small and mid-sized organizations. Christos, among his many positions, is also an Associate Research Professor at the W. P. Carey School of Business.
AI Frontiers Session 5 | "AI Personality Extraction from Faces: Labor Market Implications"
In our fourth and special session of the AI Frontiers in Finance Webinar, Tania Babina, Assistant Professor at Columbia Business School presents her paper "Artificial Intelligence and Firms' Systematic Risk". Xaver Kelbel, an experienced AI Advisor, discusses the paper, and shares insights from his point of view.#AIFrontiers #financewebinar #researchinsights #columbiauniversity
AI Frontiers in Finance Session 4 | "Artificial Intelligence and Firms' Systematic Risk"
In our third session of the AI Frontiers in Finance Webinar, Gordon Phillips, Laurence F. Whittemore Professor of Business Administration and Professor of Finance at the Tuck School of Business, presents his paper "Intellectual Property Protection Lost and Competition". Jan Kinne, co-founder and CEO of ISTARI.AI, discusses the paper, shares insights from his own research, and explores practical applications at ISTARI.AI. #AIFrontiers #FinanceWebinar #IntellectualProperty #Competition #ResearchInsights #PracticalApplications #ISTARIAI #GordonPhillips #JanKinne #AIInnovation #FinanceAndAI #TuckSchool
AI Frontiers in Finance Session 3 | "Intellectual Property Protection Lost and Competition"
Following the huge success of our first session, Bryan Kelly, Frederick Frank ’54 and Mary C. Tanner Professor of Finance at Yale School of Management and Head of Machine Learning at AQR Capital Management, presents his paper Virtue of Complexity in Factor Pricing Models in the second session of our AI Frontiers in Finance seminar series. Maximilian Stroh, Head of Research at Quoniam Asset Management, discusses the paper and shares practical knowledge in relation to Bryan's work.
AI Frontiers in Finance Session 2 | "Virtue of Complexity in Factor Pricing Models"
In our first session of the AI Frontiers in Finance seminar series Alberto Rossi, Hachigian Family Professor and Director at Georgetown University, presents his paper Real-time Machine Learning in the Cross-Section of Stock Returns. Rohit Singh, Co-founder of martini.ai and Assistant Professor in the Departments of Biostatistics & Bioinformatics and Cell Biology at Duke University, discusses the paper and brings in the important point of view of the practice.
Webinar "AI Frontiers in Finance" (Session 1)
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