We study whether access to local pollution information causes investors to make greener portfolio allocations, exploiting the rollout of air quality monitoring stations in India. Using a triple-differences framework on the trading records of 19 million investors, we show that retail investors’ holdings in “brown” stocks become more negatively related to local pollution after a nearby station appears. This effect is more pronounced on “alert” dates when air quality is reported to be harmful. The effect is strongest among tech-savvy investors likely “treated” by real-time pollution data, and younger investors, who may be more sensitive to environmental concerns.

3917 4176
KK 819
- Ph.D., National University of Singapore
- B.S., University of Science and Technology of China
Dr. Zhang joined The University of Hong Kong (HKU) as an assistant professor at the HKU Business School in 2020. Prior to that, he was an assistant professor of finance at Hong Kong Baptist University.
His areas of interest include Household Finance, Behavioral Finance, Financial Institutions, and Corporate Finance. His research has been published in major economics and finance journals, including Journal of Financial Economics, Review of Economics and Statistics, Management Science, Journal of Financial and Quantitative Analysis, Review of Finance and Journal of Financial Intermediation.
- “Tax Policy Transmission and Household Expenditures” (with S. Agarwal and P. Ghosh), The Review of Economics and Statistics, forthcoming.
- “Liberalizing Home-Based Business” (with S. Agarwal, T. Sing, and C. Song), Management Science, 70(12), 2024, 8301-8321.
- “Investing in Low-Trust Countries: On the Role of Social Trust in the Global Mutual Fund Industry” (with M. Massa, C. Wang and H. Zhang), Journal of Financial and Quantitative Analysis, 57(1), 2022, 240-290.
- “Interest Rate Pass-Through and Consumption Response: The Deposit Channel” (with S. Agarwal, S. Chomsisengphet, and Y. Yildirim), Review of Economics and Statistics, 103(5), 2021, 922-938.
- “Air Pollution, Behavioral Bias, and the Disposition Effect in China” (with J. Li, M. Massa and H. Zhang), Journal of Financial Economics, 142(2), 2021, 641-673.
- “Good Days, Bad Days: Stock Market Fluctuation and Taxi Tipping Decisions” (with W. Tan), Management Science, 67(6), 2021, 3965-3984.
- “Disguised Corruption: Evidence from Consumer Credit in China” (with S. Agarwal, W. Qian and A. Seru), Journal of Financial Economics, 137(2), 2020, 430-450.
- “Gender Gap in Personal Bankruptcy Risks: Empirical Evidence from Singapore” (with S. Agarwal, J. He and T. Sing), Review of Finance, 22(2), 2018, 813-847.
- “Gender Difference and Intra-Household Economic Power in Mortgage Signing Order” (with S. Agarwal, R. Green, E. Rosenblatt, and V. Yao), Journal of Financial Intermediation, 36, 2018, 86-100.
- “Housing Property Rights, Collateral, and Entrepreneurship: Evidence from China” (with G. Fan, H. Li, and J. Li), Journal of Banking and Finance, 143, 2022, 106588.
We study how households understand and respond to monetary policy by exploiting the open auctions of early-stage crowdfunding and inferring individuals’ expectations based on their maximum requested interest rates. Using loan listings from Prosper, we find that borrowers adjust their willingness-to-pay interest rates in response to unexpected Federal funds rate changes, whereas anticipated shifts have negligible effects. These responses are more pronounced among high-income, high-credit-score borrowers; large loan applicants; and when Federal Reserve communication is transparent. The responses are highly asymmetric—Borrowers sharply lower rates during unexpected easing but resist increasing them during unexpected tightening. The results are robust to alternative specifications, including regression-discontinuity-in-time designs and alternative measures of monetary policy shock. Lenders also respond to policy shocks and counteract borrowers’ adjustments. Analysis of Robinhood data shows that retail investors mirror this behavior by reducing equity holdings after surprise rate hikes.
Working at home benefits entrepreneurs by lowering fixed costs and allowing them to engage in joint market and household production. We evaluate a large-scale reform in Singapore, the Home Office Scheme, that allowed business creation at one’s residential property and study whether home-based entrepreneurship spurs entrepreneurial activities. The difference-in-differences estimate shows that the reform led to a significantly higher level of business creation and the firms newly created in response to the reform had a higher survival rate. The effect is more pronounced for low-income female individuals and industries with high start-up capital, implying that financial constraints and nonpecuniary benefits likely drive the effect. The reform also encourages entrepreneurs to become serial entrepreneurs, and they open a larger business with a similar survival rate for their second firm. Overall, our findings suggest that the program effectively attracted more entry into self-employment without significantly lowering the average quality of the pool.
Inspired by the recent health science findings that air pollution affects mental health and cognition, we examine whether air pollution can intensify the cognitive bias observed in the financial markets. Based on a proprietary data set obtained from a large Chinese mutual fund family consisting of complete trading information for more than 773,198 accounts in 247 cities, we find that air pollution significantly increases investors’ disposition effects. Analysis based on two plausible exogenous variations in air quality (the vast dissipation of air pollution caused by strong winds and the Huai River policy) supports a causal interpretation. Mood regulation provides a potential mechanism.




