I am an Assistant Professor at Toulouse School of Economics. My research falls at the intersection of industrial organization and finance. I apply a wide range of empirical methods, with a focus on using structural estimation to understand welfare implications of policies and market designs. In my current research, I create novel models to help understand how information frictions are generated in finance and technology industries, as well as how they affect competition and welfare. I completed my PhD in Economics at Boston University. Before joining TSE, I was a postdoctoral fellow at Tepper School of Business at Carnegie Mellon University.
Working Papers
Does Competition Between Experts Improve Information Quality: Evidence from the Security Analyst Market [Under Revision]
[Draft]
Finalist for Young Economists’ Essay Award (YEEA) at EARIE 2021
Talks: NTU, SMU, IIOC, EARIE, FMA, BU Questrom, AFA (PhD Poster), BU, CMU Tepper, TSE, Oxford Saïd, ESSEC, OSU Fisher, Bank of Canada, Northwestern, NUS, Queen’s University, CEPR-JIE
- Financial analysts are rewarded for being the most accurate. This leads them to distort their forecasts to differentiate themselves from their peers, but also disciplines their optimism bias. In the current market, the disciplinary effect dominates while both effects are present, so it is optimal to have moderate competition between analysts to both improve aggregate information and contain the distortion.
Sticky Consumers and Cloud Welfare [Under Revision]
with Peichun Wang and Sida Peng
[Draft]
Talks: ZJU, NTU, BU Economics, IIOC, Paris Digital Conference, Queen’s University Smith; by coauthor: Microsoft, Jinan-SHUFE IO
- Cloud computing creates big welfare benefits, particularly for smaller firms, but we find that cloud customers are sticky to old cloud products, thus undermining cloud’s benefits. Cloud migration services and introductory discounts, which incentivize firms to try new products, can improve both consumer welfare and provider revenue.
Why Do Index Funds Have Market Power? Quantifying Frictions in the Index Fund Market [Under Revision]
with Zach Brown, Mark Egan, Jihye Jeon, and Alex Wu
[Draft]
Talks: SITE, TSE, SMU, IIOC, WFA, Econometric Society European Meeting, Chicago Booth; by coauthor: American University, the Boston Conference on Markets and Competition, BU, CMU, LSE, the Montreal Summer Conference on Industrial Organization, Northwestern, OSU, Rice, Stockholm School of Economics, the University of Florida, and the University of Wisconsin IO/Finance Reading Group
- We develop a novel quantitative dynamic model of demand for and supply of index funds to decompose the impact of inertia, search frictions, and preference heterogeneity. We find that the average expense ratio paid by retail investors are roughly 45% higher due to search frictions and 40% due to inertia than the friction-less baseline. Removing inertia has a small impact when search frictions are high.
