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Variation-based tests for volatility misspecification
DOI:10.1016/j.jeconom.2015.10.008.png)
摘要
En 中文
We provide a simple and easy to use goodness-of-fit test for the misspecification of the volatility function in diffusion models. The test uses power variations constructed as functionals of discretely observed diffusion processes. We introduce an orthogonality condition which stabilizes the limit law in the presence of parameter estimation and avoids the necessity for a bootstrap procedure that reduces performance and leads to complications associated with the structure of the diffusion process. The test has good finite sample performance as we demonstrate in numerical simulations. (C) 2015 Elsevier B.V. All rights reserved.
Keyword:
Volatility testing
Diffusion processes
Goodness-of-fit tests
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期刊
IF:
4
论文数:
5.3K
被引数:
3.0W
机构
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

