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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dufresne, Daniel Vazquez-Abad, Felisa Chin, Stephen |
| Copyright Year | 2014 |
| Description | Author affiliation: Centre for Actuarial Studies, University of Melbourne, 111 Barry Street, Carlton VIC 3053, AUSTRALIA (Dufresne, Daniel) || Department of Computer Science, Hunter College CUNY, 695 Park ave, New York 10021, USA (Vazquez-Abad, Felisa) || Ingensoma Arbitrage Ltd, Hanwha Securities Bldg 22F, 23-5 Youngdeungpo-gu, Seoul, KOREA, 150-717 (Chin, Stephen) |
| Abstract | The square-root process is used to model interest rates and volatility in financial mathematics. The pricing of derivatives involving that process often requires simulating it, since there are often no explicit formulas for prices. We study how a change of measure (CM) may improve those simulations. We compare with Andersen's quadratic-exponential scheme (QE), which so far appears to be the most efficient technique to simulate the stochastic differential equation satisfied by the square-root process. An integer-dimension squared Bessel process, easy to simulate, is used to generate the law of the square-root process using a change of measure. The new method performs very well, and the two algorithms execute at similar speeds; however, CM is slower than QE if random number generation is taken into account, because CM requires more random numbers. The Radon-Nikodym derivative sometimes has a rather intriguing behavior, which is itself of interest. We propose an explanation. |
| Starting Page | 465 |
| Ending Page | 475 |
| File Size | 130696 |
| Page Count | 11 |
| File Format | |
| e-ISBN | 9781479974863 |
| DOI | 10.1109/WSC.2014.7019912 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-12-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Indexes Europe Computational modeling Stochastic processes Approximation methods Transforms Mathematical model |
| Content Type | Text |
| Resource Type | Article |
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