Regime specific spillover across cryptocurrencies and the role of COVID-19

Financial Innovation

卷:7

Elie Bouri¹  Sang Hoon Kang²  Syed Jawad Hussain Shahzad³  Tareq Saeed⁴ 

[1] Adnan Kassar School of Business, Lebanese American University;

[2] Department of Business Administration, Pusan National University;

[3] Montpellier Business School;

[4] Nonlinear Analysis and Applied Mathematics (NAAM)-Research Group, Department of Mathematics, Faculty of Science, King Abdulaziz University;

关键词: Regime-switching;    Volatility regimes;    Spillovers;    Connectedness;    Cryptocurrencies;    COVID-19;   

DOI  :  10.1186/s40854-020-00210-4

来源: DOAJ

【 摘 要 】

Abstract The aim of this study is to examine the daily return spillover among 18 cryptocurrencies under low and high volatility regimes, while considering three pricing factors and the effect of the COVID-19 outbreak. To do so, we apply a Markov regime-switching (MS) vector autoregressive with exogenous variables (VARX) model to a daily dataset from 25-July-2016 to 1-April-2020. The results indicate various patterns of spillover in high and low volatility regimes, especially during the COVID-19 outbreak. The total spillover index varies with time and abruptly intensifies following the outbreak of COVID-19, especially in the high volatility regime. Notably, the network analysis reveals further evidence of much higher spillovers in the high volatility regime during the COVID-19 outbreak, which is consistent with the notion of contagion during stress periods.

【 授权许可】

Unknown