Steven L. Heston | |
---|---|
Citizenship | American |
Alma mater | Carnegie Mellon University, Ph.D. |
Known for | Quantitative research; investment modelling |
Scientific career | |
Fields | Economics; Mathematics; Finance; Investment strategies |
Thesis | Testing Continuous Time Models of the Term Structure of Interest Rates (1990) |
Steven "Steve" L. Heston is an American mathematician, economist, and financier. He's also prominently active in the field of gambling-related research, where he sometimes uses the pen name Kim Lee.
Education
Steve Heston studied Mathematics and Economics at the University of Maryland, wherefrom he obtained his B.S. In 1985, he completed his M.B.A. studies in Industrial Administration at the Carnegie Mellon University's Graduate School of Industrial Administration. From the same university, Carnegie Mellon, in 1987, he received his M.S. in Finance and in 1990 his Ph.D.
Academic career
Heston was at the Yale School of Organization and Management from 1989 until 1993, a Visiting Assistant Professor of Finance at the Columbia Business School until 1994, and Assistant Professor of Finance at the Washington University in St. Louis until 1998.
He is currently, and since 2002, Professor of Finance at the University of Maryland, at College Park.
Career in finance
Heston is known for analyzing options with stochastic volatility.
From 1998 to 2002, Heston worked as Vice President of U.S. Arbitrage and also of Quantitative Equities, in Goldman Sachs, New York.
Heston is the originator of the eponymous Heston model, a mathematical formulation describing the evolution of an underlying asset's volatility.
Gambling-related research
Steve Heston, under his own name or the pen name "Kim Lee," has written extensively on issues related to the games of poker and casino blackjack, and gambling-related issues, in general. He is also active in online message boards on issues related to the mathematics of gambling.
Heston is the author of numerous articles and texts on the game of blackjack, often participating in teams' strategy formulation, on issues ranging from simple card counting and bankroll management to more advanced advantage-techniques.
Heston is co-author of two highly praised books on tournament poker: Along with Blair Rodman and Lee Nelson, of Kill Phil, and, with Lee Nelson and professional poker tournament player Tysen Streib, of the subsequent Kill Everyone. The titles are a word play combining the title of the Quentin Tarantino movie Kill Bill and the name of Phil Hellmuth, professional poker player and winner of multiple tournaments, with a significant number of WSOP bracelets.
References
- ^ "Steve Heston". Maryland Smith. Archived from the original on March 25, 2024. Retrieved March 25, 2024.
- Steven L. Heston Archived September 29, 2011, at the Wayback Machine at the WilmottWiki Quantitative Finance database
- "Intraday Patterns in the Cross-Section of Stock Returns and international stock risk" Archived October 7, 2011, at the Wayback Machine, Columbia University, Center for Financial Engineering, 2009
- Heston, Steven L. (1993). "A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options". The Review of Financial Studies. 6 (2): 327–343. doi:10.1093/rfs/6.2.327. JSTOR 2962057.
- ^ "On the math behind the OPP card-counting system" Archived August 6, 2011, at the Wayback Machine from the Blackjack Forum magazine, Vol. XXV #1, Winter 2005/06, reprinted in Blackjack Forum Archived July 17, 2011, at the Wayback Machine online
- "Review of Kill Phil" Archived July 5, 2011, at the Wayback Machine, Poker Library
- "Poker Book Review: Kill Phil" Archived July 16, 2011, at the Wayback Machine (on the revised edition), Online Poker News, February 27, 2010
- Kill Phil: The Fast Track to Success in No-Limit Hold 'Em Poker Tournaments (Revised and Expanded Edition, 2009), Huntington Press, ISBN 978-1-935396-31-4
- Kill Everyone: Advanced Strategies for No-Limit Hold 'Em Poker, Tournaments, and Sit-n-Gos (Revised and Expanded Edition, 2009), Huntington Press, ISBN 978-1-935396-30-7
External links
- University of Maryland official website