2022 Program

Keynote Speakers

Lin William Cong
Rudd Family Professor of Management and Associate Professor of Finance

Lin William Cong is the Rudd Family Professor of Management and Associate Professor of Finance at the Johnson Graduate School of Management at Cornell University SC Johnson College of Business. He is also the founding faculty director for the FinTech Initiative at Cornell. Prior to joining Cornell, he was an assistant professor of Finance and Ph.D. advisor at the University of Chicago Booth School of Business and faculty member at the Center for East Asian Studies. He is a a Kauffman Junior Faculty Fellow, a Poets & Quants World Best Business School Professor, a former doctoral fellow at the Stanford Institute for Innovation in Developing Economies, and a former George Shultz Scholar at the Stanford Institute for Economic Policy Research. Cong serves as associate editor for Management Science, Journal of Financial Intermediation, Journal of Corporate Finance, and the Journal of Banking and Finance, has advised FinTech organizations such as Wall Street Blockchain Alliance and ChainLink, was consulted for regulators’ lawsuits against KIN/Kik and Telegram’s TON regarding their ICOs, as well as for the incubation of Dfinity and its initial research. Cong is a member of multiple professional organizations such as the American Economic Association, European Finance Association, and the Econometric Society.

Kay Giesecke
Professor of Management Science & Engineering at Stanford University

Kay Giesecke is Professor of Management Science & Engineering at Stanford University. He is the Director of the Advanced Financial Technologies Laboratory and the Director of the Mathematical and Computational Finance Program. Kay is a member of the Institute for Computational and Mathematical Engineering. He serves on the Governing Board and Scientific Advisory Board of the Consortium for Data Analytics in Risk. He is a member of the Council of the Bachelier Finance Society.
Kay is currently on leave from Stanford to lead infima Technologies, a startup company building a prediction service for the $25T credit markets.
Kay is a financial technologist and engineer. He develops stochastic financial models, designs statistical methods for analyzing financial data, examines simulation and other numerical algorithms for solving the associated computational problems, and performs empirical analyses. Much of Kay’s work is driven by important applications in areas such as credit risk management, investment management, and, most recently, housing finance. His research has been funded by the National Science Foundation, JP Morgan, State Street, Morgan Stanley, Swiss Re, American Express, Moody’s, and several other organizations.

Stefan Nagel
Fama Family Distinguished Service Professor of Finance at University of Chicago

Stefan Nagel’s research focuses on asset pricing, investor behavior, and risk-taking of financial intermediaries. His most recent work explores the role of personal experiences in shaping expectations about the macroeconomy and financial market returns, novel approaches for measurement of bank tail risk exposures, and the application of machine learning techniques to understand the risk and return of investment strategies in the stock market. Nagel has won various awards for his research, among them the Smith-Breeden Prize of the American Finance Association for the best paper in the Journal of Finance in 2004 and the Fama/DFA prize for the best asset pricing paper in the Journal of Financial Economics in 2006 (first prize) and 2010 (second prize).
Professor Nagel currently serves as the Executive Editor of the Journal of Finance, one of the leading academic finance journals in the world. Previously, he was an editor at the Review of Financial Studies from 2014-2015 and an associate editor at various top journals. He is also a research associate at the National Bureau of Economic Research (Cambridge, MA) and a research fellow at the Centre for Economic Policy Research (London, UK) and CESifo.

Paper Awards

Best Paper Awards:

Conference Video Presentations

Evaluating market efficiency in a high-dimensional world

Stefan Nagel (Fama Family Distinguished Service Professor of Finance, University of Chicago)

Deep Learning for MBS Prepayments

Kay Giesecke (Professor of Management Science & Engineering, Stanford University)

Tokenomics: Classification, Pricing, Staking, and Monetary Policy

Will Cong (Rudd Family Professor of Management and Associate Professor of Finance, Cornell University)

Investor Experience Matters: Evidence from Generative Art Collections on the Blockchain

Sebeom Oh (Temple University), Samuel Rosen (Temple University), and Anthony Zhang (University of Chicago)

Discussant: Simon Trimborn (City University of Hong Kong)

Technology and Cryptocurrency Valuation

Yukun Liu (University of Rochester), Jinfei Sheng (University of California, Irvine), and Wanyi Wang (University of California, Irvine)

Discussant: Ben Charoenwong (National University of Singapore)

Alpha Go Everywhere: Machine Learning and International Stock Returns

Darwin Choi (Chinese University of Hong Kong), Wenxi Jiang (Chinese University of Hong Kong), and Chao Zhang (University of Oxford)

Discussant: Gavin Feng (City University of Hong Kong)

Trust in DeFi: An Empirical Study of the Decentralized Exchange

Jianlei Han (Macquarie University), Shiyang Huang (University of Hong Kong), and Zhuo Zhong (University of Melbourne)

Discussant: Sean Foley (Macquarie University)

An Economic Model of Consensus on Distributed Ledgers

Hanna Halaburda (New York University), Zhiguo He (University of Chicago), and Jiasun Li (George Mason University)

Discussant: Matthieu Bouvard (Toulouse School of Economics)

Stripping the Discount Curve—a Robust Machine Learning Approach

Damir Filipović (Ecole Polytechnique Fédérale de Lausanne and Swiss Finance Institute), Markus Pelger (Stanford University), and Ye Ye (Stanford University)

Discussant: Liyuan Cui (City University of Hong Kong)

The Changing Economics of Knowledge Production

Simona Abis (Columbia University) and Laura Veldkamp (Columbia University)

Discussant: Yiyao Wang (Shanghai Jiao Tong University)

Hidden Alpha

Manuel Ammann (University of St. Gallen), Alexander Cochardt (University of St. Gallen), Lauren Cohen (Harvard University), and Stephan Heller (Harvard University)

Discussant: Xiao Qiao (City University of Hong Kong)

The Virtue of Complexity in Machine Learning Portfolios

Bryan Kelly (Yale University), Semyon Malamud (Ecole Polytechnique Fédérale de Lausanne and Swiss Finance Institute), and Kangying Zhou (Yale University)

Discussant: Andy Neuhierl (Washington University in St. Louis)

Why Does News Coverage Predict Returns? Evidence from the Underlying Editor Preferences for Risky Stocks

Gustavo Schwenkler (Santa Clara University) and Hannan Zheng (Fidelity Investment)

Discussant: Fuwei Jiang (Central University of Finance and Economics)

Coexisting Exchange Platforms: Limit Order Books and Automated Market Makers

Jun Aoyagi (Hong Kong University of Science and Technology) and Yuki Ito (University of California, Berkeley)

Discussant: Shiyang Huang (University of Hong Kong)


Ben Charoenwong (National University of Singapore), Zach Kowaleski (University of Notre Dame), Alan Kwan (University of Hong Kong), and Andrew Sutherland (Massachusetts Institute of Technology)

Discussant: Willem van Vliet (Chinese University of Hong Kong)

Visit the conference’s YouTube channel to watch the keynote speech and paper presentations »

Conference Organizers

Conference CityU Organizers

  • Laboratory for AI-Powered FinTech
  • Department of Management Sciences
  • School of Data Science
  • Department of Economics and Finance
  • Fintech and Business Analytics Center

Conference Co-Organizers

  • Amsterdam School of Economics
  • FinTech at Cornell Initiative
  • Peking University Institute of Digital Finance
  • Stanford Advanced FinTech Lab
  • Tsinghua University Xinyuan FinTech Center