Directional predictability and volatility spillover effect from stock market indexes to Bitcoin: evidence from developed and emerging markets

被引:9
|
作者
Omri, Imen [1 ]
机构
[1] Law & Business Sch, Dept Finance, Tunis, Tunisia
关键词
Granger causality; Impulse response function; Time series; Vector autoregressive model; Stock markets; Bitcoin; Cryptocurrency; Volatility spillover; Directional predictability; Financial contagion; SAFE HAVEN PROPERTIES; ASSETS; HEDGE; GOLD; CRYPTOCURRENCIES; EQUITIES;
D O I
10.1108/JRF-06-2022-0130
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
PurposeThis paper aims to quantify the volatility spillover impact and the directional predictability from stock market indexes to Bitcoin.Design/methodology/approachDaily data of 15 developed and 15 emerging stock markets are used for the period March 2017-December 2021.; The author uses vector autoregressive (VAR) model, Granger causality test and impulse response function (IRF) to estimate the results of the study.FindingsEmpirical results show a significant unidirectional volatility spillover impact from emerging markets to Bitcoin and only six stock markets are powerful predictors of Bitcoin return in the short term. Additionally, there is no a difference between developed and developing markets regarding the directional predictability however there is difference in the reaction of Bitcoin return to shocks in the emerging markets compared to developed ones.Originality/valueThe paper proposes different econometric techniques from prior research and presents a comparative analysis between developed and emerging markets.
引用
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页码:226 / 243
页数:18
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