For more information on Robert F. Engle, visit Britannica.com.
| Britannica Concise Encyclopedia: Robert F. Engle |
For more information on Robert F. Engle, visit Britannica.com.
| Wikipedia: Robert F. Engle |
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| Birth | November 10, 1942 Syracuse, New York, U.S. |
| Nationality | American |
| Institution | New York University 2000- University of California, San Diego 1975-03 Massachusetts Institute of Technology 1969-75 |
| Field | Econometrics |
| Alma mater | Cornell University (Ph.D. 1969) Williams College (B.S. 1964) |
| Influences | Ta-Chung Liu |
| Influenced | Tim Bollerslev Mark Watson |
| Contributions | ARCH Cointegration |
| Awards | Nobel Memorial Prize in Economic Sciences (2003) |
| Information at IDEAS/RePEc | |
Robert Fry Engle III (born November 10, 1942) is an American economist and the winner of the 2003 Nobel Memorial Prize in Economic Sciences, sharing the award with Clive Granger, "for methods of analyzing economic time series with time-varying volatility (ARCH)".
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Engle was born in Syracuse, New York and went on to graduate from Williams College with a B.S. in physics. He earned an M.S. in physics and a Ph.D. in economics, both from Cornell University in 1966 and 1969 respectively.[1] After completing his Ph.D., Engle became Professor of Economics at the Massachusetts Institute of Technology from 1969 to 1977.[2] He joined the faculty of the University of California, San Diego (UCSD) in 1975, wherefrom he retired in 2003. He now holds positions of Professor Emeritus and Research Professor at UCSD. He currently teaches at New York University, Stern School of Business where he is the Michael Armellino professor in Management of Financial Services.
Engle’s most important contribution was his path-breaking discovery of a method for analyzing unpredictable movements in financial market prices and interest rates. Accurate characterization and prediction of these volatile movements are essential for quantifying and effectively managing risk. For example, risk measurement plays a key role in pricing options and financial derivatives. Previous researchers had either assumed constant volatility or had used simple devices to approximate it. Engle developed new statistical models of volatility that captured the tendency of stock prices and other financial variables to move between high volatility and low volatility periods (“Autoregressive Conditional Heteroskedasticity: ARCH”). These statistical models have become essential tools of modern asset pricing theory and practice.
More recently, Engle (and Eric Ghysels) co-founded the Society for Financial Econometrics (SoFiE).
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