WORKING PAPERS


Minor Revision, Management Science.

Presented at Rutgers Business School, Johns Hopkins Carey Business School, Michigan State Broad College of Business, NBER-NSF Time Series Conference, FMA Annual Meeting, UNC Charlotte Belk College of Business, FMA Conference on Derivatives and Volatility, Texas A&M Mays Business School, Global AI Finance Research Conference, Greater China Area Finance Conference, University of Florida Research Conference on Machine Learning in Finance, Chinese Finance Annual Meeting, Southwestern University of Finance and Economics, University of Science and Technology of China, Nankai Business School, XJTLU AI and Big Data in Accounting and Finance Research Conference.  

2023 Jack Treynor Prize Winner

Presented at NBER Summer Institute on Big Data and High-Performance Computing for Financial Economics, Shanghai Forum by Fudan University, Durham University, Rutgers Business School, Renmin University, Virtual Derivatives Workshop, University of Rhode Island, XJTLU AI and Big Data in Accounting and Finance Research Conference, WFA Annual Meeting, CICF Annual Meeting, Australia Finance and Banking Conference, Machine Learning and Financial Econometrics Workshop at Oxford-Man Institute, AFA Annual Meeting, MFA Annual Meeting (scheduled).

Presented at Rutgers Business School, Texas A&M Mays Business School, XJTLU AI and Big Data in Accounting and Finance Research Conference.

Featured in The BarclayHedge Insider Report and Quantpedia.


WORK IN PROGRESS