Welcome! I am currently an Assistant Professor in the Finance Department at Stockholm School of Economics and also an Eva and Mats Qviberg Research Fellow at SHOF after finishing my Ph.D. at Columbia University in 2021 and my undergraduate study at Hong Kong University of Science and Technology (HKUST) in 2015.
My research explores topics related to empirical corporate finance, especially entrepreneurial finance, by using multidisciplinary research methods. In particular, I enjoy designing field and lab-in-the-field experiments to study important entrepreneurship and finance-related questions. These experiments, similar to art, help people understand the world while providing their designers with enough freedom and space for imagination.
Research Interest: Entrepreneurial Finance, Field Experiments, Sustainable Investment, Real Estate
1. "Impact Investing and Venture Capital Industry: Experimental Evidence" 2021 (Available on SSRN)
Presentation: WFA (2022), RBFC (2022), ABFER (2023), Active Management Research Symposium - ESG Investing in Private Markets (2022), the 1st Conference in Sustainable Finance at the University of Luxembourg (2022), Conference on Ageing and Sustainable Finance (2022), AsianFA Annual Conference (2022), FMA European Conference (2022), FMARC (2022), IFN (2022), the Fourth Israel Behavioral Conference (2022), Bayes Business School (2022), SFiC (2022), MISUM (2022)
Abstract: This paper studies the effect of startups' ESG characteristics on venture capitalists' investments by linking investors’ behavior in an incentivized experiment to their real-world portfolio data. I find that investors perceive impact ventures to be less profitable and harder to evaluate than similar profit-driven startups. Investors’ interest in impact ventures positively correlates with their social preferences, supporting the non-pecuniary motivation for impact investing. Impact ventures are also associated with better ex-post performance. The paper uses a dynamic Bayesian model to demonstrate how these identified beliefs and preferences affect impact investment in the venture capital industry.
2. "How Venture Capitalists and Startups Bet on Each Other: Evidence From an Experimental System" 2020 with Mehran Ebrahimian (Available on SSRN)
Presentation: WFA (2023), AEF (2022), ENTFIN (2022), FMA Asia Pacific Conference (2022), IFN (2023), IBEFA (2023)
Abstract: We estimate a dynamic search-and-matching model with bargaining between venture capitalists (VCs) and startups using two symmetric incentivized resume rating (IRR) experiments implemented with real US VCs and startups. Participants evaluate randomized profiles of potential collaborators and are incentivized by real opportunities of being matched with their preferred cooperative partners. Using these experimental behaviors and real-world portfolio data as inputs to our structural model, we identify that both investors' human capital (i.e., entrepreneurial experiences) and funds' organizational capital (i.e., previous financial performance, fund size), as well as startups' human assets (i.e., educational background, entrepreneurial experiences) and non-human assets (i.e., traction, business model) impact matching payoff and continuation values of startups and VCs. While an average VC gets more value in equilibrium than an average startup due to better outside options, startups altogether receive four-fifths of the total present value of all matches in our environment.
3. "Discrimination In the Venture Capital Industry: Evidence from Field Experiments" 2020 (Job Market Paper)
Reject and Resubmit the Journal of Finance
Presentation: HEC Paris Entrepreneurship Workshop (2021), NFN Young Scholars Workshop (2021), SFA (2022), HKUST (2021), UW Foster (2021), SSE (2021), Warwick (2021), CUHK Shenzhen (2021), University of Gothenburg (2022), EasternFA (2023), CES North America Conference (2023)
Abstract: This paper examines discrimination by early-stage US investors based on startup founders' gender and race using complementary field experiments. Consistent with the prediction of discrimination theories, results show that investors implicitly discriminate against women and Asians when evaluating attractive startups but favor them when evaluating struggling startups. Among multiple coexisting sources of discrimination identified, statistical discrimination and implicit discrimination are important reasons for investors' ``anti-minority'' behaviors. A novel consistent estimator is developed to measure the polarization of investors’ discrimination behaviors and their separate driving forces. Furthermore, gender homophily exists when investors provide anonymous encouragement to startup founders.
4. "Does ESG Investing Help VC Funds to Attract Startups? Experimental Evidence" 2022 (Available on SSRN)
Best Paper Awards (ESG) at SWFA Annual Conference 2023
Vinnova Funding Grants 2022
Presentation: Oxford Sustainable Private Markets Conference (2022), the KWC/SNEE Conference on Sustainable Finance (2022), YSBC (2022), FMA Asia Pacific Conference (2022), SWFA (2023), FMARC (2023)
Abstract: Despite recent progress in examining investors' ESG preferences, little is known about firms' preferences for ESG investors. This paper studies whether aiming for ESG influences startups' intentions to collaborate with venture capitalists through two complementary field experiments that involve real US startup founders and real-world stakes. The first experiment requires entrepreneurs to evaluate multiple randomly generated investor profiles so that they can receive a recommendation list containing real matched investors' information. The second experiment is a novel payment game created to elicit entrepreneurs' taste-driven preferences. Provided with real monetary incentives, entrepreneurs decide whether to pay for a more comprehensive investor recommendation list that contains a randomized number of ESG investors and is sold at a randomized price. Results find that (i) Aiming for E, S, and G has heterogeneous effects. Environmental initiatives reduce venture capitalists' attractiveness to startups while social initiatives might improve investors' attractiveness. (ii) Positive assortative matching based on ESG exists in the startup fundraising process. (iii) Male investors benefit from aiming for social impact while female investors get punished for aiming for environmental impact. (iv) A random utility model suggests that startup founders have taste-driven preferences for ESG investors.
5. "Two-sided Discrimination in an Entrepreneurial Financing Setting: Experimental and Theoretical Evidence" 2022 with Junlong Feng, Weijie Zhong
Research Funding from Stanford GSB
Presentation: AEA Poster (2022), Columbia Experimental Design Workshop (2022)
Abstract: Women's participation rate in the entrepreneurial community has been constantly lower than in other high-skilled jobs for the previous decades. This paper aims to explain this phenomenon through the angle of gender bias on both sides of a two-sided matching market (i.e. entrepreneurial financing process). We first prove the existence of implicit gender bias against female investors among U.S. startup founders by using a startup-side incentivized resume rating (IRR) experiment. When evaluating randomized venture capitalist profiles, startup founders indicate lower interest in female investors when they become fatigued. Also, female founders show more interest in contacting female investors and gender homophily exists. Similarly, Zhang (2020) implements an investor-side IRR experiment proving the implicit gender bias against female startup founders among U.S. VC investors. Combining this experimental evidence, we provide a theoretical framework to investigate how discrimination together with homophily in two-sided matching marketing can lead to a long-lasting low participation rate of women. Although we also tested racial bias related to Asian groups, the bias against Asians only exists during the investors' investment process rather than the founder's fund-seeking process. Hence, Asians' participation rate in entrepreneurial activities still increased in the previous few years.
6. "The Microstructure of U.S. Housing Market: Evidence from Millions of Bargaining Interactions" 2021 with Haaris Mateen, Franklin Qian (Available on SSRN)
Abstract: We study the microstructure of the U.S. housing market using a novel data set comprising housing search and bargaining behavior for millions of interactions between sellers and buyers. We first establish a number of stylized facts, the most prominent being a nearly 50--50 split between houses that sold below final listing price and those that sold above final listing price. Second, we compare observed behavior with predictions from a large theoretical housing literature. Many predictions on the relationship between sales price, time on the market, listing price and atypicality are borne out in the data. However, existing models do not adequately explain the spread of the sales price around the final listing price. Using a modeling strategy that treats listing price changes as revisions of expectations about the sales price, we find sellers under-react to information shocks in estimating the sales price. Last, we find that the bargaining outcomes are influenced by previously undocumented buyers' bid characteristics, e.g., financing contingencies and escalation clauses, that signal a buyer's ability to complete or expedite the transaction. This suggests an important role for buyer bid characteristics, which are not explained by existing theories, in affecting bargaining power and surplus allocation in bilateral bargaining in housing transactions.
Instructor: Climate Finance Fall 2023
Sustainable Finance Fall 2022
FinTech (Digitalization in Finance) Spring 2022, 2023
Corporate Finance Summer 2018
LTF: Economics Department Lead Teaching Fellow 2018- 2019