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Random Lattices for Option Pricing Problems in Finance


Sanjiv Ranjan Das


Santa Clara University - Leavey School of Business

2011


Abstract:     
While the use of Monte Carlo methods is well established for pricing derivatives, this paper focuses on a random-lattice approach, also known in the literature as the stochastic-mesh method. The method is reviewed here. We show that the method may be refined with an ad-hoc bias correction, that suitably adjusts these models for accuracy. The paper presents experimental results, related analysis, and a set of applications, demonstrating easy applicability to popular choices for option pricing stochastic processes. The flexibility and ease of implementation of this approach, as seen from the examples, suggests that this approach has wide practical applicability.

Number of Pages in PDF File: 27

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Date posted: April 19, 2011  

Suggested Citation

Das, Sanjiv Ranjan, Random Lattices for Option Pricing Problems in Finance (2011). Available at SSRN: http://ssrn.com/abstract=1814263 or http://dx.doi.org/10.2139/ssrn.1814263

Contact Information

Sanjiv Ranjan Das (Contact Author)
Santa Clara University - Leavey School of Business ( email )
Department of Finance
321E Lucas Hall
Santa Clara, CA 95053
United States
HOME PAGE: http://algo.scu.edu/~sanjivdas/
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