Abstract
We develop an algorithm to price American options oil assets that follow the stochastic volatility model defined by Heston. We use art approach which is based on a modification of a combined tree for stock prices and volatilities, where the number of nodes grows quadratically in the number of tune steps. We show in a number of numerical tests that we get accurate results in a fast manner, and that features which are essential,for the practical use of stock option pricing algorithms, such as the incorporation of cash dividends and a term structure of interest rates, call easily be incorporated.
Original language | English |
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Pages (from-to) | 1-21 |
Number of pages | 21 |
Journal | Journal of Computational Finance |
Volume | 13 |
Issue number | 1 |
Publication status | Published - 2009 |
Keywords
- LINEAR COMPLEMENTARITY-PROBLEMS
- STOCHASTIC VOLATILITY
- SIMULATION