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摘要
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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.
Keyword:
poisson jumps
Cauchy jumps
Levy process
diffusion
maximum likelihood
期刊
IF:
12
论文数:
3.8K
被引数:
5.5W
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暂无机构信息
引用论文
Maximum likelihood estimation of discretely sampled diffusions:: A closed-form approximation approach离散采样扩散的最大似然估计:: 一种封闭形式的近似方法
ECONOMETRICA
IF7.1
The effects of random and discrete sampling when estimating continuous-time diffusions估计连续时间扩散时随机和离散采样的影响
ECONOMETRICA
IF7.1

