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Eric So

Global Economics Sloan Distinguished Professor of Global Economics Behavioral Science Professor Management Chair MIT Sloan PhD Program

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Eric So is the Sloan Distinguished Professor of Global Economics and Behavioral Science and Professor, Global Economics and Management at MIT Sloan. He studies how human nature and technology interact with incentives to shape decision making and market outcomes. A tenured full professor, he is a member of both the Global Economics and Management group and the Behavioral and Policy Sciences area at the MIT Sloan School of Management. So leads several AI-focused initiatives at MIT, serving as Faculty CoDirector for the AI Executive Academy and Lead Faculty for the MIT Sloan Generative AI Hub for Teaching and Learning. His current research portfolio spans interconnected topics including artificial intelligence (AI), behavioral economics, human-computer interactions, and regulatory policy. Across these roles and domains, his work seeks to bridge the gap between academic research and real-world application, combining rigorous scientific analysis with practical observations from the field. So joined MIT in 2012 after earning his PhD from Stanford University's Graduate School of Business and master's degree in economics from Cornell University. His earlier work on information processing and market efficiency is documented in his book Alphanomics: The Informational Underpinnings of Market Efficiency. An award-winning educator recognized for excellence in teaching and leadership, he currently teaches courses on AI applications in business and investment decisions and serves as Faculty Chair of MIT Sloan's PhD program.


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Eric C. So is the Sloan Distinguished Professor of Global Economics and Behavioral Science at MIT. His research focuses on asset pricing and valuation, behavioral finance, limits to arbitrage, and market microstructure. His work explores how investor behavior, information asymmetry, and market mechanisms influence financial outcomes. Key areas include the impact of analyst forecasts on asset prices, the role of liquidity in return reversals, and the informational content of earnings announcements. His studies also examine the interplay between financial reporting and consumer behavior, as well as the implications of trading costs and disclosure practices on market efficiency.

Source: google_scholar · 97 words
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