Saddlepoint approximations to option prices
成果类型:
Article
署名作者:
Rogers, LCG; Zane, O
署名单位:
University of Bath
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
发表日期:
1999
页码:
493-503
关键词:
stochastic volatility
摘要:
The use of saddlepoint approximations in statistics is a well-established technique for computing the distribution of a random variable whose moment generating function is known. In this paper, we apply the methodology to computing the prices of various European-style options, whose returns processes are not the Brownian motion with drift assumed in the Black-Scholes paradigm. Through a number of examples, we show that the methodology is generally accurate and fast.