Option pricing with genetic algorithms: separating out-of-the-money from in-the-money
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By separating the case out-of-the-money from the case in-the-money, the article extends the study of S.-H. Chen and W.-C. Lee (1997) in the application of genetic algorithms to option pricing. The boundary condition for the call price in terms of the expiration date is also carefully formulated. With this modification, the GA's performance is improved in the out-of-the-money case, more precisely, the deep out-of-the-money case.
[1] F. Black,et al. The Pricing of Options and Corporate Liabilities , 1973, Journal of Political Economy.
[2] E. Barucci,et al. Neural Networks for Contingent Claim Pricing via the Galerkin Method , 1997 .
[3] Shu-Heng Chen,et al. Option Pricing with Genetic Algorithms: The Case of European-Style Options , 1997, International Conference on Genetic Algorithms.