David Hsieh

David Arthur Hsieh (born August 1, 1953, in Hong Kong) is a professor of finance at the Duke University Fuqua School of Business. He has done extensive research on hedge funds and alternative beta, which includes dynamics of asset prices and their implications for financial risk management and risk and return in hedge funds and commodity funds.

Early years

Hsieh was born in Hong Kong and moved to the White Plains, New York when he was 14. He enrolled as a freshman at Phillips Academy, Andover in 1972 and graduated cum laude. He then went to Yale University and graduated summa cum laude and junior Phi Betta Kappa with a B.S. in Mathematics and Economics. Hsieh then spent a year working at the Federal Reserve Bank of New York before going to Massachusetts Institute of Technology for graduate school where he received a Ph.D in Economics.

Career and awards

Hsieh first taught as an associate professor at the University of Chicago Graduate School of Business and now teaches at the Fuqua School of Business, Duke University, where he was awarded the Bank of America Faculty Award in 2002. He has been invited to give talks at almost 80 different occasions and has authored or co-authored almost 50 different papers or books.

Hsieh has received the CFA, Graham and Dodd Award of Excellence for the paper "Hedge Fund Benchmarks: A Risk-Based Approach", co-authored with William Fung and published in the Financial Analysts Journal in 2004; the Fischer Black Memorial Foundation and the 1999 Robert J. Schwartz Memorial Prize for the best paper on hedge funds.; the Smith Breeden First Prize for the best paper in the Journal of Finance for the article "Margin Regulation and Stock Market Volatility" joint with Merton H. Miller; and the Yale Science and Engineering Association High Scholarship Award, a college award for the highest class standing after 7 semesters.

References

Interviews

This article is issued from Wikipedia - version of the Sunday, September 27, 2015. The text is available under the Creative Commons Attribution/Share Alike but additional terms may apply for the media files.