• Faculty & Research

    Knowledge creation on China, from proven China experts.

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  • Faculty & Research

    Knowledge creation on China, from proven China experts.

    386
  • Faculty & Research

    Knowledge creation on China, from proven China experts.

    386

Faculty Profiles

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Fang, Yue

Professor of Economics and Decision Sciences,
Department Chair (Economics and Decision Sciences), CEIBS
Co-Director of CEIBS Center on Digital Economy and Smart Enterprises

Prof. Yue Fang is Professor of Economics and Decision Sciences at CEIBS, Department Chair of Economics and Decision Sciences, Co-Director of CEIBS Center on Digital Economy and Smart Enterprises. He has taught at several universities in the United States and Australia and was Research Fellow at MIT International Financial Services Research Center (IFSRC) and Leaders for Manufacturing (LFM) Program. Prof. Fang provides consultation for GE Capital, Intel Capital, AT&T and other multinational corporations, and financial institutions such as investment banks and hedge funds.

Prof. Fang holds both his Ph.D. in Decision Sciences and M.S. in Operations Research from MIT Sloan School of Management. He obtained his B.S. from Tsinghua University. Prof. Fang’s research has been in premier international academic journals on financial econometrics, forecasting and time series analysis, data science and financial engineering.

Prof. Fang is actively involved in several academic organizations including The American Finance Association, The Econometric Society, The American Statistical Association, The International Institute of Forecasters, and Decision Sciences Institute. His extensive scholarly record has been supported by the U.S. Department of Energy, the Center for Asian and Pacific Studies, Olsen and Associates, the Shanghai Futures Exchange, and a variety of public and private corporations and organizations. He has received the PW Pipe Outstanding MBA Teaching Award and the Scharpe Research Excellence Award, among many other accolades for teaching, research grants and has been lauded for excellent performance during his academic career.

  • Ph.D. in Decision Sciences, MIT
  • MS in Operations Research, MIT
  • BS in Applied Mathematics, Tsinghua University
  • Data Science
  • Digital Economy
  • Econometrics
  • Financial Engineering
  • Big Data
  • Data Mining and Enterprise Intelligence
  • Decision Analysis
  • FinTech

PW Pipe Outstanding MBA Teaching Award and the Scharpe Research Excellence Award