Decoding Sustainable Investment Strategies: Bridging Intentions and Outcomes

Speaker

Keer Yang’s research interests in fintech and machine learning in finance are inspired by the recent revolution in new technologies that affect both financial markets and academic finance research. Through his research, he seeks to understand how financial technologies could contribute to more efficient, equitable, and inclusive financial markets. Much of his work explores machine learning methods in finance research to improve the understanding of financial markets. He utilizes machine learning methods for causal inference, prediction, and big data analysis to explain financial behaviours that traditional methods fail to explain. His work has been published in leading journals such as Journal of Financial Economics.

Yang earned his Ph.D. in finance from University of Minnesota. He received his B.S. in mathematics and applied mathematics from Zhejiang University in China and earned his M.Res. in economic theory and econometrics from Toulouse School of Economics in France.