Revisiting the roles of cryptocurrencies in stock markets: A quantile coherency perspective

被引:87
作者
Jiang, Yonghong [1 ,2 ,3 ]
Lie, Jiayi [1 ,2 ]
Wang, Jieru [1 ,2 ]
Mu, Jinqi [1 ,2 ]
机构
[1] Jinan Univ, Inst Finance, Guangzhou 510632, Peoples R China
[2] Jinan Univ, Sch Econ, Guangzhou 510632, Peoples R China
[3] Wisconsin Univ, Econ Dept, Eau Claire, WI 54701 USA
关键词
Cryptocurrencies; Stock markets; Quantile coherency; COUNTRIES-FRESH-EVIDENCE; SAFE-HAVEN; CRUDE-OIL; ECONOMIC-GROWTH; SYSTEMIC RISK; BITCOIN; PRICE; DEPENDENCE; HEDGE; WAVELET;
D O I
10.1016/j.econmod.2020.12.002
中图分类号
F [经济];
学科分类号
02 ;
摘要
The common consensus regarding weak correlations between cryptocurrencies and stock markets has recently been challenged by their synchronous downturn during the COVID-19 pandemic. We revisit their relationships at different quantiles and frequencies using a novel quantile coherency approach and a daily dataset of several largecapitalization cryptocurrencies and representative stock indices. Our results demonstrate that their dependence is significant in many cases but rarely negative, which indicates that cryptocurrencies fail to be a strong hedge or safe haven against stock markets. The significantly positive dependence suggests a diversifier role for cryptocurrencies and is stronger at extreme lower quantiles, which could raise public concern about risk contagion between the two in a recession. Ethereum is the most effective diversifier in the short term, whereas all of the cryptocurrencies in this study act as diversifiers over longer time scales. In addition, our hedging effectiveness analysis verifies the diversification benefits of cryptocurrencies for the stock indices in global, developed, emerging and US markets.
引用
收藏
页码:21 / 34
页数:14
相关论文
共 57 条
[1]   Hedging emerging market stock prices with oil, gold, VIX, and bonds: A comparison between DCC, ADCC and GO-GARCH [J].
Abul Basher, Syed ;
Sadorsky, Perry .
ENERGY ECONOMICS, 2016, 54 :235-247
[2]   BIVARIATE GARCH ESTIMATION OF THE OPTIMAL COMMODITY FUTURES HEDGE [J].
BAILLIE, RT ;
MYERS, RJ .
JOURNAL OF APPLIED ECONOMETRICS, 1991, 6 (02) :109-124
[3]   Can volume predict Bitcoin returns and volatility? A quantiles-based approach [J].
Balcilar, Mehmet ;
Bouri, Elie ;
Gupta, Rangan ;
Roubaud, David .
ECONOMIC MODELLING, 2017, 64 :74-81
[4]   Does uncertainty move the gold price? New evidence from a nonparametric causality-in-quantiles test [J].
Balcilar, Mehmet ;
Gupta, Rangan ;
Pierdzioch, Christian .
RESOURCES POLICY, 2016, 49 :74-80
[5]   The inefficiency of Bitcoin revisited: A dynamic approach [J].
Bariviera, Aurelio F. .
ECONOMICS LETTERS, 2017, 161 :1-4
[6]   Quantile coherency: A general measure for dependence between cyclical economic variables [J].
Barunik, Jozef ;
Kley, Tobias .
ECONOMETRICS JOURNAL, 2019, 22 (02) :131-+
[7]   Quantile coherency networks of international stock markets [J].
Baumohl, Eduard ;
Shahzad, Syed Jawad Hussain .
FINANCE RESEARCH LETTERS, 2019, 31 :119-129
[8]   Are cryptocurrencies connected to forex? A quantile cross-spectral approach [J].
Baumohl, Eduard .
FINANCE RESEARCH LETTERS, 2019, 29 :363-372
[9]   Bitcoin: Medium of exchange or speculative assets? [J].
Baur, Dirk G. ;
Hong, KiHoon ;
Lee, Adrian D. .
JOURNAL OF INTERNATIONAL FINANCIAL MARKETS INSTITUTIONS & MONEY, 2018, 54 :177-189
[10]   Is Gold a Hedge or a Safe Haven? An Analysis of Stocks, Bonds and Gold [J].
Baur, Dirk G. ;
Lucey, Brian M. .
FINANCIAL REVIEW, 2010, 45 (02) :217-229