SFS Cavalcade North America 2024

Georgia State University | May 19-22, 2024

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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: 14th May 2024, 03:24:24am EDT

Session Overview
Location: Room 610

Date: Monday, 20/May/2024
8:30am - 9:15am	Track M1-1: FinTech Location: Room 610 Chair: Jillian Grennan, UC-Berkeley Discussant: Mina Lee, Federal Reserve Board Borrowing from a Bigtech Platform Jian Jane Li¹, Stefano Pegoraro² 1: Columbia University; 2: University of Notre Dame, Mendoza College of Business
9:30am - 10:15am	Track M1-2: FinTech Location: Room 610 Chair: Jillian Grennan, UC-Berkeley Discussant: Ian Appel, University of Virginia Impact of Robo-advisors on the Labor Market for Financial Advisors Ishitha Kumar Emory University
10:30am - 11:15am	Track M1-3: FinTech Location: Room 610 Chair: Jillian Grennan, UC-Berkeley Discussant: Joshua White, Vanderbilt University Digital Veblen Goods Sebeom Oh¹, Samuel Rosen¹, Anthony Lee Zhang² 1: Temple University; 2: University of Chicago
11:30am - 12:15pm	Track M1-4: FinTech Location: Room 610 Chair: Jillian Grennan, UC-Berkeley Discussant: Neroli Austin, University of Michigan Deciphering the Impact of BigTech Consumer Credit Lei Chen¹, Wenlan Qian², Albert Di Wang³, Qi Wu⁴ 1: Southwestern University of Finance and Economics; 2: National University of Singapore; 3: The University of Texas at Austin; 4: City University of Hong Kong
1:45pm - 2:30pm	Track M1-5: FinTech Location: Room 610 Chair: Jillian Grennan, UC-Berkeley Discussant: Jean-Edouard Colliard, HEC Paris AI-Powered Trading, Algorithmic Collusion, and Price Efficiency Winston Dou¹, Itay Goldstein¹, Yan Ji² 1: The Wharton School at University of Pennsylvania; 2: HKUST
2:45pm - 3:30pm	Track M1-6: FinTech Location: Room 610 Chair: Jillian Grennan, UC-Berkeley Discussant: Katrin Tinn, McGill University Financial and Informational Integration Through Oracle Networks Will Cong¹, Eswar Prasad¹, Daniel Rabetti² 1: Cornell University; 2: National University of Singapore

Date: Tuesday, 21/May/2024
8:30am - 9:15am	Track T8-1: Return Expectations of Households and Professionals Location: Room 610 Chair: Alessandro Previtero, Indiana University Discussant: Deniz Aydın, Washington University in St. Louis Microfounding Household Debt Cycles with Extrapolative Expectations Francesco D’Acunto¹, Michael Weber², Xiao Yin³ 1: Georgetown University; 2: University of Chicago; 3: UCL
9:30am - 10:15am	Track T8-2: Return Expectations of Households and Professionals Location: Room 610 Chair: Alessandro Previtero, Indiana University Discussant: Allison Cole, NBER and ASU Return Heterogeneity in Retirement Accounts Andrea Tamoni¹, Lorenzo Bretscher², Riccardo Sabbatucci³ 1: Rutgers Business School; 2: University of Lausanne; 3: Stockholm School of Economics
10:30am - 11:15am	Track T8-3: Return Expectations of Households and Professionals Location: Room 610 Chair: Alessandro Previtero, Indiana University Discussant: Victor Duarte, University of Illinois at Urbana Champaign Beyond the Status Quo: A Critical Assessment of Lifecycle Investment Advice Aizhan Anarkulova¹, Scott Cederburg², Michael O'Doherty³ 1: Emory University; 2: University of Arizona; 3: University of MIssouri
11:30am - 12:15pm	Track T8-4: Return Expectations of Households and Professionals Location: Room 610 Chair: Alessandro Previtero, Indiana University Discussant: Nuno Clara, Duke University Partial Homeownership: A Quantitative Analysis Eirik Eylands Brandsaas¹, Jens Soerli Kvaerner² 1: Federal Reserve Board; 2: Tilburg University
1:45pm - 2:30pm	Track T8-5: Return Expectations of Households and Professionals Location: Room 610 Chair: Alessandro Previtero, Indiana University Discussant: Carter Davis, Indiana University The Cross-section of Subjective Expectations: Understanding Prices and Anomalies Sean Myers¹, Ricardo De la O², Xiao Han³ 1: The Wharton School; 2: USC Marshall School of Business; 3: Bayes Business School
2:45pm - 3:30pm	Track T8-6: Return Expectations of Households and Professionals Location: Room 610 Chair: Alessandro Previtero, Indiana University Discussant: Michael Boutros, Bank of Canada Insurance versus Moral Hazard in Income-Contingent Student Loan Repayment Tim de Silva MIT Sloan School of Management

Date: Wednesday, 22/May/2024
8:30am - 9:15am	Track W7-1: Return Predictability Location: Room 610 Chair: Benjamin Golez, University of Notre Dame Discussant: Andreas Neuhierl, Washington University in St. Louis The Return of Return Dominance: Decomposing the Cross-Section of Prices Sean Myers¹, Ricardo De la O², Xiao Han³ 1: The Wharton School; 2: USC Marshall School of Business; 3: Bayes Business School
9:30am - 10:15am	Track W7-2: Return Predictability Location: Room 610 Chair: Benjamin Golez, University of Notre Dame Discussant: Andrea Tamoni, Rutgers Business School Sources of Return Predictability Beata Gafka¹, Pavel Savor², Mungo Wilson³ 1: Ivey Business School; 2: Kellstadt Graduate School of Business at DePaul University; 3: Said Business School at Oxford University
10:30am - 11:15am	Track W7-3: Return Predictability Location: Room 610 Chair: Benjamin Golez, University of Notre Dame Discussant: Johnathan Loudis, Notre Dame Dogs and cats living together: A defense of cash-flow predictability Seth Pruitt ASU
11:30am - 12:15pm	Track W7-4: Return Predictability Location: Room 610 Chair: Benjamin Golez, University of Notre Dame Discussant: John Shim, University of Notre Dame Passive Investing and Market Quality Philipp Höfler¹, Christian Schlag^1,2, Maik Schmeling^1,3 1: Goethe University Frankfurt; 2: Leibniz Institute for Financial Research SAFE; 3: Centre for Economic Policy Research (CEPR)
1:45pm - 2:30pm	Track W7-5: Return Predictability Location: Room 610 Chair: Benjamin Golez, University of Notre Dame Discussant: Alberto Martin-Utrera, Iowa State University Economic Forecasts Using Many Noises Yuan Liao¹, Xinjie Ma², Andreas Neuhierl³, Zhentao Shi⁴ 1: Rutgers University; 2: National University of Singapore; 3: Washington University at St Louis; 4: Chinese Universith of Hong Kong
2:45pm - 3:30pm	Track W7-6: Return Predictability Location: Room 610 Chair: Benjamin Golez, University of Notre Dame Discussant: Dmitriy Muravyev, Michigan State University Too Good to Be True: Look-ahead Bias in Empirical Options Research Jefferson Duarte¹, Christopher Jones², Mehdi Khorram³, Haitao Mo⁴, Junbo Wang⁵ 1: Rice University; 2: University of Southern California; 3: Rochester Institute of Technology; 4: University of Kansas; 5: Louisiana State University

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