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发表状态已发表Published
题名Volatility of stock price as predicted by patent data: An MGARCH perspective
作者
发表日期2008
发表期刊Journal of Empirical Finance
ISSN/eISSN0927-5398
卷号15期号:1页码:64-79
摘要

This paper proposes to model stock price volatility and variations in innovation effort using a Multivariate GARCH structure designed to extract information for risk prediction. The salient feature is that the model order, alongside other parameters, is endogenously determined by the estimation procedures. Using stock prices of U.S. computer firms, it is found that the model can pick up the correlation between the two variables and aid in producing accurate Value-at-Risk estimates. © 2007 Elsevier B.V. All rights reserved.

关键词Innovation, Patents Multivariate GARCH Reversible jump MCMC Value-at-Risk
DOI10.1016/j.jempfin.2006.10.003
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收录类别SSCI
语种英语English
WOS研究方向Business & Economics
WOS类目Business, Finance ; Economics
WOS记录号WOS:000258110900004
Scopus入藏号2-s2.0-37049013784
引用统计
被引频次:7[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/8430
专题个人在本单位外知识产出
通讯作者Fung, Michael K.
作者单位
1.Hong Kong University of Science and Technology, Hong Kong, China
2.Hong Kong Polytechnic University, Hong Kong, China
推荐引用方式
GB/T 7714
Chow, William W.,Fung, Michael K. Volatility of stock price as predicted by patent data: An MGARCH perspective[J]. Journal of Empirical Finance, 2008, 15(1): 64-79.
APA Chow, William W., & Fung, Michael K. (2008). Volatility of stock price as predicted by patent data: An MGARCH perspective. Journal of Empirical Finance, 15(1), 64-79.
MLA Chow, William W.,et al."Volatility of stock price as predicted by patent data: An MGARCH perspective". Journal of Empirical Finance 15.1(2008): 64-79.
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