Pricing options under generalized GARCH and stochastic volatility processes
成果类型:
Article
署名作者:
Ritchken, P; Trevor, R
署名单位:
University System of Ohio; Case Western Reserve University; Macquarie University
刊物名称:
JOURNAL OF FINANCE
ISSN/ISSBN:
0022-1082
DOI:
10.1111/0022-1082.00109
发表日期:
1999
页码:
377-402
关键词:
conditional heteroskedasticity
ARCH models
valuation
claims
bond
摘要:
In this paper, we develop an efficient lattice algorithm to price European and American options under discrete time GARCH processes. We show that this algorithm is easily extended to price options under generalized GARCH processes, with many of the existing stochastic volatility bivariate diffusion models appearing as limiting cases. We establish one unifying algorithm that can price options under almost all existing GARCH specifications as well as under a large family of bivariate diffusions in which volatility follows its own, perhaps correlated, process.