Abstract
This paper considers a risk-based approach for pricing an American contingent claim in an incomplete market described by a continuous-time, Markov, regime-switching jump-diffusion model. We formulate the valuation problem as a stochastic differential game and use dynamic programming. Verification theorems for the Hamilton-Jacobi-Bellman-Issacs (HJBI) variational inequalities of the games are used to determine the seller's and buyer's prices and optimal exercise strategies.
Original language | English |
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Pages (from-to) | 1633-1646 |
Number of pages | 14 |
Journal | Quantitative Finance |
Volume | 11 |
Issue number | 11 |
DOIs | |
Publication status | Published - Nov 2011 |