Nonlinear Regression for an Asymptotic Option Price

Nonlinear Regression for an Asymptotic Option Price

초록

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.

키워드

Option pricingcompound Poissonasymptotic expansionnonlinear regression
제목
Nonlinear Regression for an Asymptotic Option Price
제목 (타언어)
Nonlinear Regression for an Asymptotic Option Price
저자
송성주송종우
발행일
2008
저널명
응용통계연구
21
5
페이지
755 ~ 763