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Option valuation with infinitely divisible distributions 

Author: Steven L. Heston a
Affiliation:   a R H Smith School of Business, University of Maryland, College Park, MD, USA
DOI: 10.1080/14697680400000035
Publication Frequency: 8 issues per year
Published in: journal Quantitative Finance, Volume 4, Issue 5 October 2004 , pages 515 - 524
Number of References: 35
Formats available: PDF (English)
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Abstract

This paper develops an axiomatic framework for option valuation when option payoffs ar not spanned by spot and bond prices. This framework extends the parametric 'risk neutral valuation' results of rubinstein (1976) and brennan (1979) to general distributions. The valuation relationship preserves the divisibility properties of distributions. So by using infinitely divisible distributions the theory easily extends to continuous-time processes with independent increments.

This paper illustrates the valuation technique with negative-binomial and inverse-binomial generalizations of Cox et al.'s (1979) binomial model. The Continuous-time (gamma and inverse Gaussian) limits of these models generalize the Black-Scholes (1973) formula by incorporating an extra skewness parameter. The continuous-time examples include an infinite variance stable process of the type used by Mandelbrot (1963, 1966) and McCulloch (1987). The valuation theory extends to Americal options and other path-dependent claims.
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