Shaojun Zhang

About me

Shaojun Zhang is an assistant professor of finance at the Ohio State University, Fisher School of Business. Professor Zhang's primary research fields are asset pricing, international finance, and climate finance. She is interested in issues related to expected return, macroeconomic risk, tail risk, and climate change. She is an advisory editorial board member of Journal of Portfolio Management. She earned a bachelor's degree in economics from Peking University and a PhD in finance from New York University's Stern School of Business. Before joining OSU, Zhang was an assistant professor of finance at the University of Hong Kong. Zhang also worked as a portfolio manager at China Investment Corporation and Vanguard. She teaches investments at Fisher. 

Publications

8. Carbon Returns Across the Globe, Forthcoming, Journal of Finance. Internet Appendix. (This Version: January 2024). [Coverage by ProMarket at George J. Stigler Center at Chicago Booth]
If you want to measure carbon transition risk based on emissions, you should use carbon intensity and lag the data sufficiently. The positive carbon return documented in previous studies arises from the forward-looking firm performance information contained in emissions rather than risk premium. After accounting for the data release lag, carbon returns turn negative in the U.S. and insignificant globally.

7. Housing Cycles and Exchange Rates, Forthcoming, Management Science (with Sai Ma). Internet Appendix. (This version: January 2023). [Working paper version], [Data].
The housing cycle is a strong in-sample and out-of-sample predictor for currency returns. An analytical model with time-varying housing demand, productivity, and volatility can explain the predictability. 

6. Systematic Default and Return Predictability in the Stock and Bond Markets, September 2023, Journal of Financial Economics, 149 (3), 349-377 (with Jack Bao and Kewei Hou). Lead Article. [Working paper version]. [Inteview with Faculti].
A new measure of systemic default risk predicts aggregate market returns and improves asset allocation performance. Firm-level exposures to the systemic default risk are further related to the cross-section of average stock returns.

5. How Inefficient is the 1/N Strategy for a Factor Investor? First Quarter 2023, Journal of Investment Management, 21 (1) 1-17 (with Kevin Khang, Antonio Picca and Minzhi Zhu). [Working paper version for non-commerical/academic use only.] [Coverage by AlphaArchitect].
No alternative optimization strategy consistently dominates the simple 1/N allocation for factors after adjusting for real-life investment restrictions, including short-sale constraints, transaction costs, benchmarking and concentration limits.

4. Dissecting Currency Momentum, April 2022, Journal of Financial Economics, 144 (1), 154 - 173. [Working paper version], [Data].
[Coverage by AlphaArchitect, Analyzing Alpha, IBKRCampus].
Currency factors exhibit momentum over time. The cross-sectional and time series momentum in currencies only summarize the autocorrelation of currency factors. 

3. Factor Construction Zoo: Are Factor Exposures Created Equal? January 2022 QES Special Issue, Journal of Portfolio Management, 48 (2) 105-118. [Working paper version for non-commercial/academic use only].
The answer is no. Despite their increasing popularity, factor exposures alone are insufficient to summarize factor portfolios or products. 

2. Toward Tax-Efficient Low-Volatility Investing, January 2022 QES Special Issue, Journal of Portfolio Management, 48 (2), 198-207.
Tax management significantly improves the after-tax returns of the low volatility strategies, while maintaining the compelling risk and pre-tax return profiles.

1. Limited Risk Sharing and International Equity Returns, April 2021, Journal of Finance, 76 (2), 893 - 933. [Working paper version].
Limited stock market participation jointly helps explain a number of international finance puzzles empirically, in an analytical framework, and quantitatively. 

Working Papers

Understanding Factor Value (This Version: March 2024).
A new measure of sentiment -- the dme spread -- subsumes the predictability of the value spread and existing sentiment measures and spans cross-sectional value. The cross-sectional value premium is not an independent factor but summarizes the time-varying factor returns conditional on sentiment.

Expert Network Calls with Sean Cao, Clifton Green and Lijun Lei (This Version: September 2023).
[Conference presentations: SFS Cavalcade, EFA, EasternFA, CAPANA, Tel Aviv Finance Conference]
Expert networks provide investors with in-depth discussions with subject matter experts. Expert call demand is higher for hard-to-value firms. The calls are more (less) likely to emphasize technology and operational (financial) topics relative to earnings calls. Expert networks help investors discern complicated bad news.

Housing Risk and The Cross-Section of Returns Across Many Asset Classes with Sai Ma (This version: May 2020). New Draft Coming Soon.
A single housing investment factor possesses strong explanatory power for the cross-section of average returns across a wide range of asset classes.

The Causal Effect of the Dollar on Trade with Sai Ma and Tim Schmidt-Eisenlohr (This Version: November 2020). New Draft Coming Soon.
Import prices and quantities respond strongly to a country’s exchange rate with the U.S. dollar.

Pricing Network Risks, with Erica X.N. Li and Gang Zhang. 

BOOK CHAPTERS & Perspectice Pieces

Liquidity Management with Index Futures Contracts for Active Managers in Intricacies of Implementing Derivatives: Insights from Asset Management Experts

Alternative Data in Finance, Forthcoming, Journal of Portfolio Management

contact

Shaojun Zhang
Email: zhang.7805@osu.edu
Office Phone: 614-292-1521
Department of Finance, Fisher College of Business
The Ohio State University
830 Fisher Hall, 2100 Neil Ave
Columbus, OH 43210