arrow
返回

Variation-based tests for volatility misspecification

delete2016-03-01
delete5
PRE
AI
A
Alex Papanicolaou *
K
Kay Giesecke
DOI:10.1016/j.jeconom.2015.10.008delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

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
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Journal of Econometrics 封面图
Journal of Econometrics
IF:
4
论文数:
5.3K
被引数:
3.0W

机构

S
Stanford University
学者数:
9.6W
论文数: 8.2W
被引数: 17.0W
引用论文

引用论文

Assessing the validity of indicators of the quality of maternal and newborn health care in Kenya
err2016-02-25
err0
errOAAI
errAnn K Blanc; Charlotte Warren; Katharine J McCarthy; James Kimani; Charity Ndwiga; Saumya RamaRao
err分享
err收藏
err分享
err收藏
Vehicular trajectory estimation utilizing slip angle based on GNSS Doppler/IMU
err2021-02-16
err0
errOAAI
errKanamu Takikawa; Yoshiki Atsumi; Aoki Takanose; Junichi Meguro
err分享
err收藏
err分享
err收藏
学者 查看更多内容