Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/1900
Title: Volatility spillovers among G7, E7 stock markets and cryptocurrencies
Authors: Aydogan, Berna
Vardar, Gulin
Tacoglu, Caner
Keywords: Stock markets
Cryptocurrencies
Volatility spillovers
Safe Haven
Bitcoin
Return
Hedge
Inefficiency
Economics
Dollar
Gold
Publisher: Emerald Group Publishing Ltd
Abstract: Purpose The existence of long memory and persistent volatility characteristics of cryptocurrencies justifies the investigation of return and volatility/shock spillovers between traditional financial market asset classes and cryptocurrencies. The purpose of this paper is to investigate the dynamic relationship between the cryptocurrencies, namely Bitcoin and Ethereum, and stock market indices of G7 and E7 countries to analyze the return and volatility spillover patterns among these markets by means of multivariate (MGARCH) approach. Design/methodology/approach Applying the newly developed VAR-GARCH-in mean framework with the BEKK representation, the empirical results reveal that there exists an evidence of mean and volatility spillover effects among Bitcoin and Ethereum as the proxies for the cryptocurrencies, and stock markets reviewed. Findings Interestingly, the direction of the return and volatility spillover effects is unidirectional in most E7 countries, but bidirectional relationship was found in most G7 countries. This can be explained as the presence of a strong return and volatility interaction among G7 stock markets and crypto market. Originality/value Overall, the results of this study are of particular interest for portfolio management since it provides insights for financial market participants to make better portfolio allocation decisions. It is also increasingly important to understand the volatility transmission mechanism across these markets to provide policymakers and regulatory bodies with guidance to eliminate the negative impact of cryptocurrency's volatility on the stability of financial markets.
Description: Article; Early Access
URI: https://doi.org/10.1108/JEAS-09-2021-0190
https://hdl.handle.net/20.500.14365/1900
ISSN: 1026-4116
2054-6246
Appears in Collections:WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Files in This Item:
File SizeFormat 
1900.pdf
  Restricted Access
194.33 kBAdobe PDFView/Open    Request a copy
Show full item record



CORE Recommender

WEB OF SCIENCETM
Citations

4
checked on Jul 3, 2024

Page view(s)

90
checked on Jul 1, 2024

Download(s)

4
checked on Jul 1, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.