Lawrence J. Jin received his PhD in Financial Economics from Yale University in May 2015. His research focuses on asset pricing, behavioral finance, neuroeconomics, and household finance. He holds a BS in Mathematics and Physics from Tsinghua University and a MS in Electrical Engineering from Caltech. Prior to attending Yale, he spent two years as a research and trading analyst at Citigroup. His research has been published in the Quarterly Journal of Economics, the Journal of Finance, the Review of Financial Studies, and the Journal of Financial Economics.

His JFE paper "X-CAPM: An Extrapolative Asset Pricing Model" received the Q-Group's 2014 Jack Treynor Prize—the prize recognizes superior academic papers with potential applications in the fields of investment management and financial markets. His job market paper "A Speculative Asset Pricing Model of Financial Instability" received the AQR Top Finance Graduate Award in 2015—the award recognizes finance Ph.D. graduates worldwide whose dissertations and broader research potential carry the greatest promise of making an impact on the practice of finance and in academia. Most recently, Jin was the recipient of the MFA Outstanding Paper Award in 2019 and the Associated Students of Caltech (ASCIT) Teaching Award in 2021.

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