This paper tailors Monte Carlo simulations to the scope of binary options whose underlying dynamics obey jump-diffusion or jump-mean-reverting processes and may not be traded. In the process, the existence of well-defined arbitrage prices is justified notwithstanding a framework of incomplete markets. The all-or-nothing feature of digital options makes simulations unstable in the vicinity of their threshold, which entails the implementation of variance reduction techniques. An extension to stochastic interest rates highlights the fact that probabilistic techniques and simulations can be married to further improve the accuracy of the estimations.
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Volume (Year): 8 (2001) Issue (Month): 3 (September) Pages: 183-196 Download reference. The following formats are available: HTML
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