An Empirical Study of Volatility in Cryptocurrency Market

被引:17
作者
Gupta, Hemendra [1 ]
Chaudhary, Rashmi [1 ]
机构
[1] Jaipuria Inst Management, Dept Finance, Lucknow 226010, India
关键词
volatility; cryptocurrency; GARCH; MGARCH; DCC GARCH; EGARCH; ASYMMETRIC VOLATILITY; TIME-SERIES; BITCOIN; MODEL; GOLD;
D O I
10.3390/jrfm15110513
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Cryptocurrencies have gained a lot of attraction across the globe. Most observers of the cryptocurrency market will agree that crypto volatility is in a different league altogether. There has been a growing need to understand the nature of volatility in cryptocurrency. This paper analyzes the performance of four mostly traded, different cryptocurrencies in terms of their risk and return. The relationship between the return and returns volatility among different currencies has been examined considering the daily closing prices from 1 January 2017 to 30 June 2022, using the family of the GARCH model. The study has explored the spillover and asymmetric effect of volatility by using the DCC GARCH model and EGARCH model, respectively. The causal behavior among different cryptocurrencies has also been examined using Granger causality. There has been a strong spillover effect among different cryptocurrencies, Bitcoin and Ether, which are the top two cryptocurrencies with the highest market capitalization which have exhibited an asymmetric impact in their volatility as compared to the other two currencies, which are Litecoin and XRP.
引用
收藏
页数:14
相关论文
共 36 条
[1]   Volatility persistence in cryptocurrency markets under structural breaks [J].
Abakah, Emmanuel Joel Aikins ;
Gil-Alana, Luis Alberiko ;
Madigu, Godfrey ;
Romero-Rojo, Fatima .
INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2020, 69 :680-691
[2]   Asymmetric volatility in cryptocurrencies [J].
Baur, Dirk G. ;
Dimpfl, Thomas .
ECONOMICS LETTERS, 2018, 173 :148-151
[3]   Asymmetric Volatility in the Gold Market [J].
Baur, Dirk G. .
JOURNAL OF ALTERNATIVE INVESTMENTS, 2012, 14 (04) :26-38
[4]   GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSKEDASTICITY [J].
BOLLERSLEV, T .
JOURNAL OF ECONOMETRICS, 1986, 31 (03) :307-327
[5]   Quantile connectedness in the cryptocurrency market [J].
Bouri, Elie ;
Saeed, Tareq ;
Xuan Vinh Vo ;
Roubaud, David .
JOURNAL OF INTERNATIONAL FINANCIAL MARKETS INSTITUTIONS & MONEY, 2021, 71
[6]   Testing for a Unit Root in a Process Exhibiting a Structural Break in the Presence of GARCH Errors [J].
Brooks C. ;
Rew A.G. .
Computational Economics, 2002, 20 (3) :157-176
[7]   The effect of asymmetries on optimal hedge ratios [J].
Brooks, C ;
Henry, OT ;
Persand, G .
JOURNAL OF BUSINESS, 2002, 75 (02) :333-352
[8]   NO NEWS IS GOOD-NEWS - AN ASYMMETRIC MODEL OF CHANGING VOLATILITY IN STOCK RETURNS [J].
CAMPBELL, JY ;
HENTSCHEL, L .
JOURNAL OF FINANCIAL ECONOMICS, 1992, 31 (03) :281-318
[9]   Volatility in International Stock Markets: An Empirical Study during COVID-19 [J].
Chaudhary, Rashmi ;
Bakhshi, Priti ;
Gupta, Hemendra .
JOURNAL OF RISK AND FINANCIAL MANAGEMENT, 2020, 13 (09)