Sophia Zhengzi Li
Assistant Professor of Finance
Rutgers Business School
1 Washington Park
Newark, NJ 07102
Email: zhengzi.li(at)business(dot)rutgers(dot)edu
Main Research Areas: Empirical Asset Pricing, Financial Econometrics, Big Data, Machine Learning
Research Interests: Volatility, Intraday Analysis, Return Prediction, Tail Risk, News, Disagreement, Shareholder Voting
Publications
"When Shareholders Disagree: Trading After Shareholder Meetings", with Ernst Maug and Miriam Schwartz-Ziv, Review of Financial Studies, 35 (2022), 1813–1867.
Presented at Michigan State University, Hebrew University, Tel Aviv University, New York University, 2018 AFA, 2018 FARS, 2018 MFA invited session, Fifth Annual Conference on Financial Market Regulation, 2018 University of Connecticut Conference, 2018 CICF, University of Mannheim, Tilburg University, 2019 SFS Cavalcade North America, Third BI Conference on Corporate Governance, 2019 EFA Annual Meeting, and University of Cambridge.
Featured by Harvard Law School Forum on Corporate Governance and Financial Regulation.
"Pervasive Underreaction: Evidence from High-Frequency Data", with Hao Jiang and Hao Wang, Journal of Financial Economics, 141 (2021): 573-599.
Best Paper Awards, Eleventh Triple Crown Conference.
Presented at Australian National University, AQR, Michigan State University, Purdue, Rutgers University, University of Wisconsin Madison and Milwaukee, Singapore Management University, Conference on Financial Economics and Accounting, European Finance Association 2019 Meeting, Mid-Atlantic Research Conference in Finance, the Eleventh Triple Crown Conference, 2018 CICF, 2018 PBFEAM Conference, the Second UT Dallas Fall Finance Conference, and the 2019 Summer Institute of Finance Conference.
Featured by RavenPack.
"Good Volatility, Bad Volatility, and the Cross-Section of Stock Returns", with Tim Bollerslev and Bingzhi Zhao, Journal of Financial and Quantitative Analysis, 55 (2020): 1-31. Supplementary Appendix.
Presented at Duke financial econometrics lunch group, the Society for Financial Econometrics (SoFiE) summer school at Harvard, the 2017 Midwest Finance Association Annual Meeting, the 2017 Financial Intermediation Research Society Conference, the 2017 European Finance Association Conference, the 2017 Northern Finance Association Conference, and the 2018 Finance Down Under Conference.
"Market Intraday Momentum", with Lei Gao, Yufeng Han and Guofu Zhou, Journal of Financial Economics, 129 (2018): 394-414.
Presented at Michigan State University, Rutgers University, Shanghai Advanced Institute of Finance, Singapore Management University, Southwestern University of Finance and Economics, University of Missouri, Washington University in St. Louis, Wuhan University, 2014 Tsinghua University Workshop, 2014 International Symposium on Financial Engineering and Risk Management, 2014 Financial Management Association meeting, 2015 Mid-Atlantic Research Conference in Finance, 2015 ITAM Finance Conference, and 2015 NFA Conference.
“Roughing Up Beta: Continuous vs. Discontinuous Betas, and the Cross-Section of Expected Stock Returns”, with Tim Bollerslev and Viktor Todorov, Journal of Financial Economics, 120 (2016): 464-490.
First Prize, Morgan Stanley Prize for Excellence in Financial Markets, 2012 (awarded to a previous version of the paper by Li).
Presented at Federal Reserve Bank of Richmond, Triangle Econometrics Conference, Morgan Stanley Strats & Modeling, Louisiana State University Finance, National University of Singapore Economics, University of New South Wales Finance, University of Cincinnati Finance, Georgetown University Finance, Federal Reserve Board, Michigan State University Finance, The Brattle Group, PanAgora Asset Management, Shanghai Advanced Institute of Finance, Chinese University of Hong Kong Finance, Tsinghua PBC School of Finance, Imperial College London Finance, FMA Annual Meeting, University of South Carolina Finance, Michigan State University Economics.
"Jump Tail Dependence in the Chinese Stock Market'', with Hao Wang and Hua Zhao, Emerging Markets Finance and Trade, 52 (2016): 2379-2396.
"Jump Tails, Extreme Dependencies and the Distribution of Stock Returns'', with Tim Bollerslev and Viktor Todorov, Journal of Econometrics, 172 (2013): 307-324.
''Efficient Gaussian Graphical Model Determination under G-Wishart Prior Distributions'', with Hao Wang, Electronic Journal of Statistics, 6 (2012):168-198.
Selective Working Papers
"Automated Volatility Forecasting", with Yushan Tang (Rutgers Student), 2023. 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.
"Forecasting and Managing Correlation Risks", with Tim Bollerslev and Yushan Tang (Rutgers Student), 2023. [Presentation Video]
2023 Jack Treynor Prize Winner
NBER 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, Australasian Finance and Banking Conference, Machine Learning and Financial Econometrics Workshop at Oxford-Man Institute, AFA Annual Meeting, MFA Annual Meeting (scheduled), Citi Quantitative Research Conference, Q Group Spring Seminar (scheduled).
"Granular Information and Sectoral Movements", with Hao Jiang and Peixuan Yuan (Rutgers Graduate), 2023.
Presented at Rutgers Business School, SoFiE Annual Conference, University of Georgia, Washington University in St. Louis, Baruch College, Fordham University, UMass Amherst, Five Star Workshop 2021, Global AI Finance Research Conference, Paris December Finance Meeting, Annual Conference in Digital Economics, FMA Annual Meeting, CICF Annual Meeting.
"Risk Momentum, A New Class of Price Patterns", with Peixuan Yuan (Rutgers Graduate) and Guofu Zhou, 2023.
Presented at Washington University in St. Louis, Boston College, Rutgers Business School, Georgia State University, Merrill Lynch International, Capital University of Economics and Business, Peking University, Fudan University, Jiangxi University of Finance and Economics, Hunan Normal University, Hunan University, Renmin University of China, Tsinghua University, Xian Jiaotong University, Nanjing University, Tongji University, China Fintech Research Conference, 3rd International Fintech Research Forum, FMA Annual Meeting, New Zealand Finance Meeting, Australasian Finance and Banking Conference, MFA Annual Meeting, SFS Cavalcade North America, Hong Kong Conference for Fintech, AI and Big Data in Business, CFEA Annual Meeting.
"ETFs, Anomalies and Market Efficiency ", with Ilias Filippou, Songrun He, and Guofu Zhou, 2023.
Presented at Washington University in St. Louis, FMA Annual Meeting, Annual Meeting of the Swiss Society for Financial Market Research, Future of Financial Information Conference, Centre for Financial Research at University of Cologne, WFA Annual Meeting, NFA Annual Meeting, Tel Aviv Finance Conference (canceled), Australasian Finance and Banking Conference, Bentley University, Clemson University, Florida State University, University of New Orleans.
"Do Stocks Lead Bonds? New Evidence from Corporate Bond ETFs", with Hao Jiang and Yuanyuan Xiao (Rutgers Student), 2023.
Presented at Rutgers Business School, FMA Annual Meeting, Shanghai-Edinburgh Fintech Conference, XJTLU AI and Big Data in Accounting and Finance Research Conference, Australasian Finance and Banking Conference.
"Anomalies as New Hedge Fund Factors: A Machine Learning Approach", with Yong Chen, Yushan Tang (Rutgers Student), and Guofu Zhou, 2023.
Presented at XJTLU AI and Big Data in Accounting and Finance Research Conference.
Featured by BarclayHedge Insider Report and Quantpedia.
"Information Transmission from Corporate Bonds to the Aggregate Stock Market", with Peixuan Yuan (Rutgers Graduate) and Guofu Zhou, 2023.
Presented at Renmin University of China, Central University of Finance and Economics, Hunan Normal University, Hunan University, and Jiangxi University of Finance and Economics, Hong Kong Baptist University, University of Macau, Peking University, Hong Kong Conference for Fintech, AI and Big Data in Business, and Australasian Finance and Banking Conference, MFA Annual Meeting, CICF Annual Meeting (scheduled).
"News-Based Investor Disagreement and Stock Returns", with Zeyao Luan (Rutgers Student), 2023.
Presented at AFFECT Early Idea Session, Greater New York Finance Women Inaugural Symposium, SWFA Annual Meeting, MFA Annual Meeting , Rutgers Business School, Camden, Asian Finance Association Annual Meeting (scheduled)
"Pockets of Factor Pricing", with Peixuan Yuan (Rutgers graduate) and Guofu Zhou, 2023.
Inactive Working Papers
"Dealer Disagreement and Asset Prices in FX Markets", with Brandon Han and Zhaogang Song.
Discussions
"Mobile App, Firm Risk, and Growth", by Xi Wu. CFEA Annual Meeting, 2023, [slides]
"Do Common Factors Really Explain the Cross-Section of Stock Returns", by Alejandro Lopez-Lira and Nikolai Roussanov. CFEA Annual Meeting, 2022, [slides]
"What Drives Momentum and Reversal? Evidence from Day and Night Signals", by Yashar H. Barardehi, Vincent Bogousslavsky, and Dmitriy Muravyev. Wharton Jacobs Levy Frontiers in Quantitative Finance Conference, 2022, [slides], [Discussion video from 28:40]
"The Systematic Risk of Global Asset Returns in Times of Crisis: (How) Is COVID-19 Different", by Jacob Boudouk, Yukun Liu, Tobias Moskowitz, and Matthew Richardson. 13th Florida State University SunTrust Beach Conference, 2022, [slides]
"Index-Linked Trading and Stock Returns", by Shaun William Davies. Paris December Finance Meeting, 2021, [slides]
"Mutual Fund Fragility, Dealer Liquidity Provisions, and the Pricing of Municipal Bonds", by Yi Li, Maureen O'Hara, and Xing (Alex) Zhou. CICF, 2021, [slides]
"Selecting Mutual Funds from the Stocks They Hold: a Machine Learning Approach", by Bin Li and Alberto Rossi. China Fintech Research Conference, 2021, [slides]
"Thousands of Alpha Tests", by Stefano Giglio, Yuan Liao, and Dacheng Xiu. EFA, 2019, [slides]
"The Flow of Inflation Information and the Price Volatility of Maturing TIPS," by Quentin Chu and Pawan Jain, 26th PBFEAM, 2018, [slides].
"Risk Prices Vary in the Cross Section", by Andrew Patton and Brian Weller. Tim Bollerslev’s 60th Birthday Conference at UCSD, 2018, [slides].
"The Momentum of News," by Ying Wang, Bohui Zhang, and Xiaoneng Zhu, CICF, 2018, [slides].
"Fearing the Fed: How Wall Street Reads Main Street," by Tzuo-Hann Law, Dongho Song, and Amir Yaron, MFA Annual Meeting, 2017, [slides].
"Good Jumps, Bad Jumps, and Conditional Equity Premium," by Hui Guo, Kent Wang, and Hao Zhou, Duke/UNC Financial Volatility Conference, 2016, [slides].
"Overconfidence, Under-reaction, and Warren Buffett’s Investments," by John Hughes, Jing Liu and Mingshan Zhang, FMA Annual Meeting, 2015, [slides].
"On the Estimation of Systematic Downside Risk,” by Nikolaos Artavanis, FMA Annual Meeting, 2015, [slides].
"Product Market Threats and Stock Crash Risk," by Si Li and Xintong Zhan, 7th McGill Global Asset Management Conference, 2015, [slides].