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Nonlinear Regression for an Asymptotic Option PriceNonlinear Regression for an Asymptotic Option Price

Other Titles
Nonlinear Regression for an Asymptotic Option Price
Authors
송성주송종우
Issue Date
2008
Publisher
한국통계학회
Keywords
Option pricing; compound Poisson; asymptotic expansion; nonlinear regression
Citation
응용통계연구, v.21, no.5, pp.755 - 763
Indexed
KCI
Journal Title
응용통계연구
Volume
21
Number
5
Start Page
755
End Page
763
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/125289
ISSN
1225-066X
Abstract
This paper approaches the problem of option pricing in an incomplete market, where the underlying asset price process follows a compound Poisson model. We assume that the price process follows a compound Poisson model under an equivalent martingale measure and it converges weakly to the Black-Scholes model. First, we express the option price as the expectation of the discounted payoff and expand it at the Black-Scholes price to obtain a pricing formula with three unknown parameters. Then we estimate those parameters using the market option data. This method can use the option data on the same stock with different expiration dates and different strike prices.
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