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| Fang, Yue |
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Professor of Decision Sciences, CEIBS Chair and the Robert and Lois Braddock Distinguished Research Scholar in Department of Decision Sciences, Charles H. Lundquist College of Business, University of Oregon
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| Nationality:
USA |
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| 86-21-28905611 |
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fyue@ceibs.edu
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| EDUCATIONAL BACKGROUND |
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| *1996 Ph.D. in Decision Sciences, MIT |
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| RESEARCH INTERESTS |
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* Decision Making * Financial Econometrics * Forecasting & Time Series Analysis * Volatility Modeling & Forecasting |
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| TEACHING INTERESTS |
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* Quantitative Analysis in Business * Managerial Decision Analysis * Business and Economic Forecasting * Risk Management
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| SHORT BIO |
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Prof. Yue Fang is Professor of Decision Sciences at CEIBS. He is also Chair and the Robert and Lois Braddock Distinguished Research Scholar in Department of Decision Sciences, Charles H. Lundquist College of Business, University of Oregon. He was Research Fellow at MIT International Financial Services Research Center (IFSRC), MIT Leaders for Manufacturing (LFM) Program, and the Energy Information Administration (EIA) - the statistics arm of the US Department of Energy. Prof. Fang consults for multinational corporations such as GE Capital Service and AT&T, and several local private enterprises. He is Managing Partner at the Forest Investment Group, L.L.C., in New York.
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. He is actively involved in several academic organizations including The American Statistical Association, The International Institute of Forecasters, and Decision Sciences Institute. Prof. Fang's extensive scholarly record has been supported by the U.S. Department of Energy, the Center for Asian and Pacific Studies, the Shanghai Futures Exchange, and a variety of public and private corporations and organizations. His publications appear in International Journal of Forecasting, Journal of the Royal Statistical Society, Journal of Risk and Insurance, Journal of Quality Technology, and Journal of Time Series Analysis among various leading academic journals. He receives the PW Pipe Outstanding MBA Teaching Award and the Scharpe Research Excellence Award, among many other teaching awards, research grants and excellent performing honors for his academic career.
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