Dynamic Cross-Market Volatility Spillover Based on MSV Model: Evidence from Bitcoin, Gold, Crude Oil, and Stock Markets

This paper examines the spillover effect between bitcoin, gold, crude oil, and major stock markets by using the MSV model with dynamic correlation and Granger causality. The empirical results of the DC-GC-MSV model are logically correct and convergent. The DIC test result has proved that the DC-GC-M...

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Main Authors: Jing Zhang, Qi-zhi He
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/9912418
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author Jing Zhang
Qi-zhi He
author_facet Jing Zhang
Qi-zhi He
author_sort Jing Zhang
collection DOAJ
description This paper examines the spillover effect between bitcoin, gold, crude oil, and major stock markets by using the MSV model with dynamic correlation and Granger causality. The empirical results of the DC-GC-MSV model are logically correct and convergent. The DIC test result has proved that the DC-GC-MSV model is better and more accurate. Bitcoin has no significant Granger causality spillover effect than other assets. As a safe haven product for stock assets, gold price has one-way spillover effect from stock market volatility. Moreover, crude oil has the highest correlation with the stock market. In the recent COVID-19 epidemic and the sluggish economic environment, investors need to consider a balanced asset allocation among low-correlation assets, medium-correlation assets, and high-correlation assets to reduce risks.
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spelling doaj-art-bb1f809f36624544980a6529cf3a841b2025-08-20T02:19:11ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/99124189912418Dynamic Cross-Market Volatility Spillover Based on MSV Model: Evidence from Bitcoin, Gold, Crude Oil, and Stock MarketsJing Zhang0Qi-zhi He1School of Economics and Management, Southeast University, Nanjing, Jiangsu, ChinaSchool of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, Zhejiang, ChinaThis paper examines the spillover effect between bitcoin, gold, crude oil, and major stock markets by using the MSV model with dynamic correlation and Granger causality. The empirical results of the DC-GC-MSV model are logically correct and convergent. The DIC test result has proved that the DC-GC-MSV model is better and more accurate. Bitcoin has no significant Granger causality spillover effect than other assets. As a safe haven product for stock assets, gold price has one-way spillover effect from stock market volatility. Moreover, crude oil has the highest correlation with the stock market. In the recent COVID-19 epidemic and the sluggish economic environment, investors need to consider a balanced asset allocation among low-correlation assets, medium-correlation assets, and high-correlation assets to reduce risks.http://dx.doi.org/10.1155/2021/9912418
spellingShingle Jing Zhang
Qi-zhi He
Dynamic Cross-Market Volatility Spillover Based on MSV Model: Evidence from Bitcoin, Gold, Crude Oil, and Stock Markets
Complexity
title Dynamic Cross-Market Volatility Spillover Based on MSV Model: Evidence from Bitcoin, Gold, Crude Oil, and Stock Markets
title_full Dynamic Cross-Market Volatility Spillover Based on MSV Model: Evidence from Bitcoin, Gold, Crude Oil, and Stock Markets
title_fullStr Dynamic Cross-Market Volatility Spillover Based on MSV Model: Evidence from Bitcoin, Gold, Crude Oil, and Stock Markets
title_full_unstemmed Dynamic Cross-Market Volatility Spillover Based on MSV Model: Evidence from Bitcoin, Gold, Crude Oil, and Stock Markets
title_short Dynamic Cross-Market Volatility Spillover Based on MSV Model: Evidence from Bitcoin, Gold, Crude Oil, and Stock Markets
title_sort dynamic cross market volatility spillover based on msv model evidence from bitcoin gold crude oil and stock markets
url http://dx.doi.org/10.1155/2021/9912418
work_keys_str_mv AT jingzhang dynamiccrossmarketvolatilityspilloverbasedonmsvmodelevidencefrombitcoingoldcrudeoilandstockmarkets
AT qizhihe dynamiccrossmarketvolatilityspilloverbasedonmsvmodelevidencefrombitcoingoldcrudeoilandstockmarkets