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MONTE CARLO DERIVATIVE PRICING WITH PARTIAL INFORMATION IN A CLASS OF DOUBLY STOCHASTIC POISSON PROCESSES WITH MARKS
2012
International Journal of Theoretical and Applied Finance
Acknowledgment: The Authors thank Gino Favero for useful suggestions. Abstract To model intraday stock price movements we propose a class of marked doubly stochastic Poisson processes, whose intensity process can be interpreted in terms of the effect of information release on market activity. Assuming a partial information setting in which market agents are restricted to observe only the price process, a filtering algorithm is applied to compute, by Monte Carlo approximation, contingent claim
doi:10.1142/s0219024912500185
fatcat:6imxbcwovnc5tgvs3qb6poiifq