Causality between stock market and “fear gauge” indices: An empirical analysis with E-statistics

P. Fousekis, Vasilis Grigoriadis
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引用次数: 1

Abstract

This study investigates empirically the validity of three hypotheses that have been advanced to explain the tendency of stock market and volatility indices to move in opposite directions, using the notion of Brownian distance correlation. We consider three stock market-implied volatility index pairs, namely, the S&P 500 and the VIX, the DAX 100 and the V1XI, and the N225 and the JNIV. The empirical results support the leverage hypothesis relative to the volatility feedback hypothesis for the pairs S&P 500 and VIX, and N225 and JNIV, and the representativeness and affect heuristics hypothesis relative to the leverage hypothesis for the pairs DAX 100 and V1XI, and N225 and JNIV.
股票市场与“恐惧指标”的因果关系:基于电子统计的实证分析
本研究使用布朗距离相关性的概念,实证研究了三个假设的有效性,这三个假设被提出来解释股市和波动率指数向相反方向移动的趋势。我们考虑了三个股市隐含波动率指数对,即标准普尔500指数和波动率指数,DAX 100指数和V1XI指数,以及N225指数和JNIV指数。实证结果支持标普500和VIX、N225和JNIV对相对于波动性反馈假设的杠杆假设,以及DAX 100和V1XI、N225与JNIV对相对杠杆假设的代表性和影响启发式假设。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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20 weeks
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