Volatility contagion between cryptocurrencies, gold and stock markets pre-and-during COVID-19: evidence using DCC-GARCH and cascade-correlation network
Abstract The rapid rise of Bitcoin and its increasing global adoption has raised concerns about its impact on traditional markets, particularly in periods of economic turmoil and uncertainty such as the COVID-19 pandemic. This study examines the extent of the volatility contagion from the Bitcoin ma...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2024-03-01
|
| Series: | Financial Innovation |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40854-023-00605-z |
| _version_ | 1797259092763344896 |
|---|---|
| author | Bassam A. Ibrahim Ahmed A. Elamer Thamir H. Alasker Marwa A. Mohamed Hussein A. Abdou |
| author_facet | Bassam A. Ibrahim Ahmed A. Elamer Thamir H. Alasker Marwa A. Mohamed Hussein A. Abdou |
| author_sort | Bassam A. Ibrahim |
| collection | DOAJ |
| description | Abstract The rapid rise of Bitcoin and its increasing global adoption has raised concerns about its impact on traditional markets, particularly in periods of economic turmoil and uncertainty such as the COVID-19 pandemic. This study examines the extent of the volatility contagion from the Bitcoin market to traditional markets, focusing on gold and six major stock markets (Japan, USA, UK, China, Germany, and France) using daily data from January 2, 2011, to June 2, 2022, with 2958 daily observations. We employ DCC-GARCH, wavelet coherence, and cascade-correlation network models to analyze the relationship between Bitcoin and those markets. Our results indicate long-term volatility contagion between Bitcoin and gold and short-term contagion during periods of market turmoil and uncertainty. We also find evidence of long-term contagion between Bitcoin and the six stock markets, with short-term contagion observed in Chinese and Japanese markets during COVID-19. These results suggest a risk of uncontrollable threats from Bitcoin volatility and highlight the need for measures to prevent infection transmission to local stock markets. Hedge funds, mutual funds, and individual and institutional investors can benefit from using our findings in their risk management strategies. Our research confirms the utility of the cascade-correlation network model as an innovative method to investigate intermarket contagion across diverse conditions. It holds significant implications for stock market investors and policymakers, providing evidence for potentially using cryptocurrencies for hedging, for diversification, or as a safe haven. |
| first_indexed | 2024-04-24T23:03:56Z |
| format | Article |
| id | doaj.art-a5e15b71dfd24651ba2aae1676c76cf0 |
| institution | Directory Open Access Journal |
| issn | 2199-4730 |
| language | English |
| last_indexed | 2024-04-24T23:03:56Z |
| publishDate | 2024-03-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Financial Innovation |
| spelling | doaj.art-a5e15b71dfd24651ba2aae1676c76cf02024-03-17T12:35:41ZengSpringerOpenFinancial Innovation2199-47302024-03-0110112810.1186/s40854-023-00605-zVolatility contagion between cryptocurrencies, gold and stock markets pre-and-during COVID-19: evidence using DCC-GARCH and cascade-correlation networkBassam A. Ibrahim0Ahmed A. Elamer1Thamir H. Alasker2Marwa A. Mohamed3Hussein A. Abdou4Department of Business Administration, College of Business, Imam Mohammad Ibn Saud Islamic UniversityBrunel Business School, Brunel University LondonDepartment of Business Administration, College of Business, Imam Mohammad Ibn Saud Islamic UniversityHigher Institute for Computer Science and Information SystemsDepartment of Management, Faculty of Commerce, Mansoura UniversityAbstract The rapid rise of Bitcoin and its increasing global adoption has raised concerns about its impact on traditional markets, particularly in periods of economic turmoil and uncertainty such as the COVID-19 pandemic. This study examines the extent of the volatility contagion from the Bitcoin market to traditional markets, focusing on gold and six major stock markets (Japan, USA, UK, China, Germany, and France) using daily data from January 2, 2011, to June 2, 2022, with 2958 daily observations. We employ DCC-GARCH, wavelet coherence, and cascade-correlation network models to analyze the relationship between Bitcoin and those markets. Our results indicate long-term volatility contagion between Bitcoin and gold and short-term contagion during periods of market turmoil and uncertainty. We also find evidence of long-term contagion between Bitcoin and the six stock markets, with short-term contagion observed in Chinese and Japanese markets during COVID-19. These results suggest a risk of uncontrollable threats from Bitcoin volatility and highlight the need for measures to prevent infection transmission to local stock markets. Hedge funds, mutual funds, and individual and institutional investors can benefit from using our findings in their risk management strategies. Our research confirms the utility of the cascade-correlation network model as an innovative method to investigate intermarket contagion across diverse conditions. It holds significant implications for stock market investors and policymakers, providing evidence for potentially using cryptocurrencies for hedging, for diversification, or as a safe haven.https://doi.org/10.1186/s40854-023-00605-zCryptocurrenciesGoldStock marketsCOVID-19Cascade-correlation network |
| spellingShingle | Bassam A. Ibrahim Ahmed A. Elamer Thamir H. Alasker Marwa A. Mohamed Hussein A. Abdou Volatility contagion between cryptocurrencies, gold and stock markets pre-and-during COVID-19: evidence using DCC-GARCH and cascade-correlation network Financial Innovation Cryptocurrencies Gold Stock markets COVID-19 Cascade-correlation network |
| title | Volatility contagion between cryptocurrencies, gold and stock markets pre-and-during COVID-19: evidence using DCC-GARCH and cascade-correlation network |
| title_full | Volatility contagion between cryptocurrencies, gold and stock markets pre-and-during COVID-19: evidence using DCC-GARCH and cascade-correlation network |
| title_fullStr | Volatility contagion between cryptocurrencies, gold and stock markets pre-and-during COVID-19: evidence using DCC-GARCH and cascade-correlation network |
| title_full_unstemmed | Volatility contagion between cryptocurrencies, gold and stock markets pre-and-during COVID-19: evidence using DCC-GARCH and cascade-correlation network |
| title_short | Volatility contagion between cryptocurrencies, gold and stock markets pre-and-during COVID-19: evidence using DCC-GARCH and cascade-correlation network |
| title_sort | volatility contagion between cryptocurrencies gold and stock markets pre and during covid 19 evidence using dcc garch and cascade correlation network |
| topic | Cryptocurrencies Gold Stock markets COVID-19 Cascade-correlation network |
| url | https://doi.org/10.1186/s40854-023-00605-z |
| work_keys_str_mv | AT bassamaibrahim volatilitycontagionbetweencryptocurrenciesgoldandstockmarketspreandduringcovid19evidenceusingdccgarchandcascadecorrelationnetwork AT ahmedaelamer volatilitycontagionbetweencryptocurrenciesgoldandstockmarketspreandduringcovid19evidenceusingdccgarchandcascadecorrelationnetwork AT thamirhalasker volatilitycontagionbetweencryptocurrenciesgoldandstockmarketspreandduringcovid19evidenceusingdccgarchandcascadecorrelationnetwork AT marwaamohamed volatilitycontagionbetweencryptocurrenciesgoldandstockmarketspreandduringcovid19evidenceusingdccgarchandcascadecorrelationnetwork AT husseinaabdou volatilitycontagionbetweencryptocurrenciesgoldandstockmarketspreandduringcovid19evidenceusingdccgarchandcascadecorrelationnetwork |