Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 26th Sept 2023, 02:52:41pm CEST
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Session Overview |
Date: Monday, 15/May/2023 | ||
9:30am - 10:00am |
Coffee and registration |
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10:00am - 10:15am |
Introductory remarks |
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10:15am - 11:30am |
K1: Keynote Session with Bruno Biais Location: Room Z014 Chair: Thierry Foucault Speaker: Bruno Biais "Money and Information" |
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11:30am - 12:30pm |
P1: Poster session (with coffee) From in-person to online: the new shape of the VC industry 1: IESE Business School; 2: USI Lugano and SFI; 3: Université Paris Dauphine-PSL; 4: University of Michigan, Stephen M. Ross School of Business Corporate Social Responsibility Programs and Shareholder Value Boston College, United States of America What Does the Market Know? The Wharton School, University of Pennsylvania, United States of America Asset Pricing with Complexity Université de Lausanne (SFI), Switzerland Futures Trading Costs and Market Microstructure Invariance: Identifying Bet Activity Stockholm Business School, Sweden ETFs, Anomalies and Market Efficiency 1: Olin Business School, Washington University in St. Louis, United States of America; 2: Olin Business School, Washington University in St. Louis, United States of America; 3: Rutgers University; 4: Olin Business School, Washington University in St. Louis, United States of America |
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12:30pm - 1:30pm |
Lunch |
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1:30pm - 3:00pm |
1A: On which information to rely? Location: Room Z014 Chair: Marcus Painter The Social Signal 1: University of Colorado at Boulder; 2: University of Alberta; 3: University of California, San Diego; 4: University of Pennsylvania Information Waves and Firm Investment Cornell University, United States of America |
1B: The wisdom (and madness) of crowds Location: Room Z012 Chair: Ioanid Rosu Wisdom of the Institutional Crowd: Implications for Anomaly Returns University of Southern California, United States of America When Crowds Aren’t Wise: Biased Signals From Investor Social Networks and its Price Impact University of Toronto, Canada |
3:00pm - 3:30pm |
Coffee |
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3:30pm - 5:00pm |
2A: Analysts and information acquisition Location: Room Z014 Chair: Petri Jylhä All in a Day's Work: What Do We Learn from Analysts' Bloomberg Usage? 1: Michigan State University, United States of America; 2: Rutgers University; 3: Rice University; 4: Notre Dame University What Do Questions Reveal? Skill Acquisition, Detection, and Recognition in the Capital Markets 1: The Chinese University of Hong Kong; 2: University of Washington |
2B: Informational frictions Location: Room Z012 Chair: Sophie Moinas Market opacity and fragility 1: Bayes Business School, United Kingdom; 2: IESE Business School Uncertainty about What’s in the Price 1: INSEAD, France; 2: HEC-Paris, France |
5:05pm - 5:40pm |
I1: Industry View Location: Room Z014 Chair: Michał Dzieliński Speaker: Ananth Madhavan "What do we know (or want to know) about fixed income ETFs and index funds?" |
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5:40pm - 6:45pm |
Cocktail reception |
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8:00pm | Conference dinner (by invitation) |
Date: Tuesday, 16/May/2023 | ||
9:30am - 10:00am |
Coffee and registration |
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10:00am - 11:30am |
3A: 200 years of textual analysis Location: Room Z014 Chair: Alejandro Lopez-Lira Effects of Information Overload on Financial Markets: How Much Is Too Much? 1: Universidad de Chile; 2: Pontificia Universidad Católica de Chile, Chile; 3: Federal Reserve Board (Almost) 200 Years of News-Based Economic Sentiment 1: Wharton; 2: London Business School; 3: NBER; 4: CEPR; 5: Nanyang Business School |
3B: Information in non-equity markets Location: Room Z012 Chair: Jessica Jeffers The Value of Data to Fixed Income Investors 1: Columbia University, United States of America; 2: Georgetown University; 3: Reichman University and Washington University of St. Louis, The Adoption of Artificial Intelligence by Venture Capitalists HEC Paris, France |
11:30am - 12:00pm |
Coffee |
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12:00pm - 1:30pm |
4A: Risk factors, anomalies, or just stories? Location: Room Z014 Chair: Irina Zviadadze Peer-reviewed theory does not help predict the cross-section of stock returns 1: Federal Reserve Board; 2: University of Florida; 3: University of Cologne, Germany Anomaly or Possible Risk Factor? Simple-To-Use Tests 1: University of Luxembourg; 2: EDHEC Business School.; 3: Booth School of Business, University of Chicago, CEPR, and NBER. |
4B: Technology and lending Location: Room Z012 Chair: Jean-Edouard Colliard Does IT help? Information Technology in Banking and Entrepreneurship 1: Federal Reserve Board; 2: BIS; 3: ECB; 4: IMF Borrowing from a Bigtech Platform 1: Columbia University, United States of America; 2: University of Notre Dame, Mendoza College of Business |
1:30pm - 2:30pm |
Lunch |
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2:30pm - 4:00pm |
5A: Pushing the boundaries of finance Location: Room Z014 Chair: Jérôme Dugast Informed Trading Intensity 1: Boston College; 2: Michigan State University Proving You Can Pick Stocks Without Revealing How Baruch College, United States of America |
5B: Who benefits from your data? Location: Room Z012 Chair: Christophe Perignon Open Banking and Customer Data Sharing: Implications for FinTech Borrowers 1: Goethe University Frankfurt; 2: Leibniz Institute for Financial Research SAFE Consumer Surveillance and Financial Fraud 1: University of British Columbia; 2: Columbia Graduate School of Business, NBER, and CEPR.; 3: London School of Economics and CEPR |
4:00pm - 4:15pm |
Break |
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4:15pm - 5:30pm |
K2: Keynote Session with Lin Peng Location: Room Z014 Chair: Michał Dzieliński Speaker: Lin Peng "Navigating the Information Landscape: The Role of Social Networks in Financial Markets" |
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5:30pm - 5:45pm |
Concluding remarks Location: Room Z014 |
Contact and Legal Notice · Contact Address: Privacy Statement · Conference: FutFinInfo 2023 |
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