非参数统计
可预测性
格兰杰因果关系
地缘政治学
计量经济学
波动性(金融)
库存(枪支)
金融经济学
经济
统计
工程类
数学
机械工程
政治
政治学
法学
作者
Nicholas Apergis,Matteo Bonato,Rangan Gupta,Clement Kyei
出处
期刊:Defence and Peace Economics
日期:2017-02-17
卷期号:: 1-13
被引量:115
标识
DOI:10.1080/10242694.2017.1292097
摘要
We use the k-th-order nonparametric causality test at monthly frequency over the period of 1985:1 to 2016:06 to analyze whether geopolitical risks can predict movements in stock returns and volatility of 24 global defense firms. The nonparametric approach controls for the existing misspecification of a linear framework of causality, and hence, the mild evidence of causality obtained under the standard Granger tests cannot be relied upon. When we apply the nonparametric test, we find that there is no evidence of predictability of stock returns of these defense companies emanating from the geopolitical risk measure. However, the geopolitical risk index does predict realized volatility in 50% of the companies. Our results indicate that while global geopolitical events over a period of time is less likely to predict returns, such global risks are more inclined in affecting future risk profile of defense firms.
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