| Robert F. Engle III | |||||||||
| Birth Date: | November 10, 1942 | ||||||||
| Birth Place: | Syracuse, New York, U.S. | ||||||||
| Institution: | New York University, since 2000 University of California, San Diego, (1975–2003) Massachusetts Institute of Technology, (1969–1975) | ||||||||
| Field: | Econometrics | ||||||||
| Doctoral Advisor: | Ta-Chung Liu | ||||||||
| Doctoral Students: | Mark Watson Tim Bollerslev | ||||||||
| Influences: | David Hendry | ||||||||
| Contributions: | ARCH Cointegration | ||||||||
| Awards: | Nobel Memorial Prize in Economic Sciences (2003) | ||||||||
| Repec Prefix: | e | ||||||||
| Repec Id: | pen9 | ||||||||
| Education: | Williams College (BS) Cornell University (MS, PhD) | ||||||||
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Robert Fry Engle III (born November 10, 1942) is an American economist and statistician. He won 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)".
Engle was born in Syracuse, New York into a Quaker family and went on to graduate from Williams College with a BS in physics. He earned an MS in physics and a PhD in economics, both from Cornell University, in 1966 and 1969 respectively.[1] After completing his PhD, Engle became an economics professor 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. At New York University, Engle teaches for the Master of Science in Risk Management Program for Executives.[3] [4]
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 arbitrage pricing theory and practice.
Engle was the central founder and director of NYU-Stern's Volatility Institute which publishes weekly date on systemic risk across countries on its V-LAB site.[5] [6] He was awarded a Doctor Honoris Causa by the Comillas Pontifical University in Spain in 2024.[7]