Disentangling diffusion from jumps
成果类型:
Article
署名作者:
Aït-Sahalia, Y
署名单位:
Princeton University
刊物名称:
JOURNAL OF FINANCIAL ECONOMICS
ISSN/ISSBN:
0304-405X
DOI:
10.1016/j.jfineco.2003.09.005
发表日期:
2004
页码:
487-528
关键词:
poisson jumps
Cauchy jumps
Levy process
diffusion
Maximum Likelihood
摘要:
Realistic models for financial asset prices used in portfolio choice, option pricing or risk management include both a continuous Brownian and a jump components. This paper studies our ability to distinguish one from the other. I find that, surprisingly, it is possible to perfectly disentangle Brownian noise from jumps. This is true even if, unlike the usual Poisson jumps, the jump process exhibits an infinite number of small jumps in any finite time interval, which ought to be harder to distinguish from Brownian noise, itself made up of many small moves. (C) 2004 Elsevier B.V. All rights reserved.