Will Cong (on leave)
- Associate Professor of Finance
- Rudd Family Professor of Management
- Academic Director of Fintech at Cornell Initiative
- Department Editor, Management Science
Faculty Area
Interdisciplinary Theme
Faculty Expertise
- FinTech and AI
- Corporate Finance
- Entrepreneurship and Innovation
- Applied Economic Theory
- Investments
- Digital Economy
Contact
Samuel Curtis Johnson Graduate School of Management
Biography
Prof. Cong is the Rudd Family Professor of Management, a tenured Professor of Finance, and the founding director of FinTech Initiative at Cornell University. He is also a Finance editor at the Management Science, faculty scientist at the Initiative for Cryptocurrencies & Contracts (IC3), Research Associate at the NBER, founder of multiple international research forums, and a former Kauffman Junior Fellow, Poets & Quants World Best Business School Professor, and 2022 Top 10 Quant Professor. He was previously a faculty member at the University of Chicago after earning his Ph.D. in Finance and MS in Statistics from Stanford University, and A.M. in Physics jointly with A.B. in Math and Physics from Harvard University.
Professor Cong's research spans financial economics, information economics, FinTech, digital economy, and entrepreneurship. He and his coauthors have pioneered the introduction of goal-oriented search and interpretable AI for finance, laid the foundations of tokenomics (covering categorization of tokens, cryptocurrency pricing, central bank digital currencies/payment systems, and optimal token monetary policy design), analyzed centralization issues and dynamic incentives in blockchains and DeFi, and developed data analytics for detecting market manipulation and better FinTech regulation, among others. He has won numerous best paper prizes and research grants and was invited to deliver keynote speeches at numerous international conferences and world-renowned institutions. He advises industrial leaders in FinTech and quantitative investment, as well as various government and regulatory agencies.
Selected Publications
- Cong, Lin; Grenadier, Steven; Hu, Yunzhi. "Dynamic interventions and informational linkages"Journal of Financial Economics. 135.1 (2020): 1-15
- Cong, Lin; He, Zhiguo. "Blockchain Disruption and Smart Contracts"Review of Financial Studies. 32.5 (2019): 1754-1797
- Cong, Lin; Gao, Haoyu; Ponticelli, Jacopo; Yang, Xiaoguang. "Credit Allocation under Economic Stimulus: Evidence from China"Review of Financial Studies. 32.9 (2019): 3412-3460
- Cong, Lin. "Timing of Auctions of Real Options"Management Science. 66.9 (2020): 12pp
- Cong, Lin; Lee, Charles; Qu, Yuanyu; Shen, Tao. "Financing Entrepreneurship and Innovation in China"Foundations and Trends in Entrepreneurship. 16.1 (2020): 1-64
- Azarmsa, Ehsan; Cong, Lin. "Persuasion in Relationship Finance"Journal of Financial Economics. 138.3 (2020): 818-837
- Cong, Lin; He, Zhiguo; Li, Jiasun. "Decentralized Mining in Centralized Pools"Review of Financial Studies. 34.3 (2021): 1191-1235
- Cao, Sean; Cong, Lin; Han, Meng; Hou, Qixuan; Yang, Baozhong. "Blockchain Architecture for Auditing Automation and Trust Building in Public Markets"IEEE Computer. 53.7 (2020): 20-28
- Cong, Lin; Tang, Ke; Wang, Jingyuan; Zhang, Yang. "Deep Sequence Modeling: Development and Applications in Asset Pricing"Journal of Financial Data Science. 3.1 (2021): 28-42
- Cong, Lin; Li, Ye; Wang, Neng. "Tokenomics: Dynamic Adoption and Valuation"Review of Financial Studies. 34.3 (2021): 1105-1155
Recent Courses
- NBAT 5900 - Advanced Topics in Finance
- NBAY 5610 - Demystifying Big Data and FinTech
- NBA 5600 - Demystifying Big Data and FinTech
- NMI 5000 - Directed Reading & Research
- NBAE 5600 - Introduction to FinTech, Finnovation and Finalytics
- BANA 5250 - Machine Learning for Investment
Academic Degrees
- PhD Stanford University, 2014
- MS Stanford University, 2013
- MA Harvard University, 2009
- BA Harvard University, 2009