Cryptocurrencies and precious metals: A closer look from diversification perspective
The emergence of new asset classes since the last couple decades has aroused interest of the international investment community to earn optimal returns on their portfolios by including such asset classes. Among these assets, cryptocurrencies and precious metals present opportunity for investors to y...
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Veröffentlicht in: | Resources policy 2020-06, Vol.66, p.101652, Article 101652 |
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description | The emergence of new asset classes since the last couple decades has aroused interest of the international investment community to earn optimal returns on their portfolios by including such asset classes. Among these assets, cryptocurrencies and precious metals present opportunity for investors to yield optimal portfolio returns. Our work aims to investigate the relationship between cryptocurrencies and precious metals returns based on daily pricing data from March 2017 to August 2019. Our study employs application of quantile cross spectral framework to investigate changing correlation patterns across different quantile distribution under short-, medium- and long run investment horizon. We also use non-linear causality in quantile framework to investigate spillover phenomena for returns as well as variance between these two asset classes. Our results highlights that in short-run, copper provides maximum diversification opportunities for investors with all cryptocurrencies, both under extreme market conditions. However, for medium- and long-run investment periods, precious metals under extreme positive returns distribution are not integrated with the extreme negative cryptocurrencies returns, thereby implying diversification opportunities for investors.
•We examine relationship between cryptocurrencies and precious metal commodities.•The application of quantile cross-spectral is used to analyse relationship under different quantile distribution.•We investigate integration for different investment horizons i.e. short-, medium- and long-run periods.•We also analyse the presence of asymmetric non-linear causal relationship using causality in quantile test.•Our work presents implication for short-, medium-, and long-run investors under different market conditions. |
doi_str_mv | 10.1016/j.resourpol.2020.101652 |
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•We examine relationship between cryptocurrencies and precious metal commodities.•The application of quantile cross-spectral is used to analyse relationship under different quantile distribution.•We investigate integration for different investment horizons i.e. short-, medium- and long-run periods.•We also analyse the presence of asymmetric non-linear causal relationship using causality in quantile test.•Our work presents implication for short-, medium-, and long-run investors under different market conditions.</description><identifier>ISSN: 0301-4207</identifier><identifier>EISSN: 1873-7641</identifier><identifier>DOI: 10.1016/j.resourpol.2020.101652</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Assets ; Causality ; Causality in quantiles ; Copper ; Cryptocurrencies ; Digital currencies ; Diversification ; Economic conditions ; Investment ; Investments ; Investors ; Metals ; Noble metals ; Portfolios ; Precious metals ; Quantile covariate unit root ; Quantile cross spectral</subject><ispartof>Resources policy, 2020-06, Vol.66, p.101652, Article 101652</ispartof><rights>2020 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Jun 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c376t-d5ee11a3ad36395faac8b5b3d2180a165b0980ff6c1012f7bfd942fc9921be6e3</citedby><cites>FETCH-LOGICAL-c376t-d5ee11a3ad36395faac8b5b3d2180a165b0980ff6c1012f7bfd942fc9921be6e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.resourpol.2020.101652$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3548,27865,27923,27924,45994</link.rule.ids></links><search><creatorcontrib>Rehman, Mobeen Ur</creatorcontrib><creatorcontrib>Vinh Vo, Xuan</creatorcontrib><title>Cryptocurrencies and precious metals: A closer look from diversification perspective</title><title>Resources policy</title><description>The emergence of new asset classes since the last couple decades has aroused interest of the international investment community to earn optimal returns on their portfolios by including such asset classes. Among these assets, cryptocurrencies and precious metals present opportunity for investors to yield optimal portfolio returns. Our work aims to investigate the relationship between cryptocurrencies and precious metals returns based on daily pricing data from March 2017 to August 2019. Our study employs application of quantile cross spectral framework to investigate changing correlation patterns across different quantile distribution under short-, medium- and long run investment horizon. We also use non-linear causality in quantile framework to investigate spillover phenomena for returns as well as variance between these two asset classes. Our results highlights that in short-run, copper provides maximum diversification opportunities for investors with all cryptocurrencies, both under extreme market conditions. However, for medium- and long-run investment periods, precious metals under extreme positive returns distribution are not integrated with the extreme negative cryptocurrencies returns, thereby implying diversification opportunities for investors.
•We examine relationship between cryptocurrencies and precious metal commodities.•The application of quantile cross-spectral is used to analyse relationship under different quantile distribution.•We investigate integration for different investment horizons i.e. short-, medium- and long-run periods.•We also analyse the presence of asymmetric non-linear causal relationship using causality in quantile test.•Our work presents implication for short-, medium-, and long-run investors under different market conditions.</description><subject>Assets</subject><subject>Causality</subject><subject>Causality in quantiles</subject><subject>Copper</subject><subject>Cryptocurrencies</subject><subject>Digital currencies</subject><subject>Diversification</subject><subject>Economic conditions</subject><subject>Investment</subject><subject>Investments</subject><subject>Investors</subject><subject>Metals</subject><subject>Noble metals</subject><subject>Portfolios</subject><subject>Precious metals</subject><subject>Quantile covariate unit root</subject><subject>Quantile cross spectral</subject><issn>0301-4207</issn><issn>1873-7641</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNqFkEtLxDAUhYMoOI7-BgOuO-bRNq27YfAFA27GdUiTG0htm5q0A_PvzVBx6-pyL-ecy_kQuqdkQwktH9tNgOjnMPpuwwhbrgW7QCtaCZ6JMqeXaEU4oVnOiLhGNzG2hJBCVOUKHXbhNE5ezyHAoB1ErAaDxwDa-TniHibVxSe8xbrzEQLuvP_CNvgeG3eEEJ11Wk3OD3hM2wh6SudbdGWTDe5-5xp9vjwfdm_Z_uP1fbfdZ5qLcspMAUCp4srwkteFVUpXTdFww2hFVCrRkLoi1pY6VWJWNNbUObO6rhltoAS-Rg9L7hj89wxxkm0CMaSXkuU5yau6EiKpxKLSwccYwMoxuF6Fk6REnmHJVv4hlGeEckGYnNvFCanE0UGQMSEaNBiXAE3SePdvxg8pwoB7</recordid><startdate>202006</startdate><enddate>202006</enddate><creator>Rehman, Mobeen Ur</creator><creator>Vinh Vo, Xuan</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TA</scope><scope>7TQ</scope><scope>8BJ</scope><scope>8FD</scope><scope>DHY</scope><scope>DON</scope><scope>FQK</scope><scope>JBE</scope><scope>JG9</scope></search><sort><creationdate>202006</creationdate><title>Cryptocurrencies and precious metals: A closer look from diversification perspective</title><author>Rehman, Mobeen Ur ; Vinh Vo, Xuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c376t-d5ee11a3ad36395faac8b5b3d2180a165b0980ff6c1012f7bfd942fc9921be6e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Assets</topic><topic>Causality</topic><topic>Causality in quantiles</topic><topic>Copper</topic><topic>Cryptocurrencies</topic><topic>Digital currencies</topic><topic>Diversification</topic><topic>Economic conditions</topic><topic>Investment</topic><topic>Investments</topic><topic>Investors</topic><topic>Metals</topic><topic>Noble metals</topic><topic>Portfolios</topic><topic>Precious metals</topic><topic>Quantile covariate unit root</topic><topic>Quantile cross spectral</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rehman, Mobeen Ur</creatorcontrib><creatorcontrib>Vinh Vo, Xuan</creatorcontrib><collection>CrossRef</collection><collection>Materials Business File</collection><collection>PAIS Index</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Technology Research Database</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>Materials Research Database</collection><jtitle>Resources policy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rehman, Mobeen Ur</au><au>Vinh Vo, Xuan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cryptocurrencies and precious metals: A closer look from diversification perspective</atitle><jtitle>Resources policy</jtitle><date>2020-06</date><risdate>2020</risdate><volume>66</volume><spage>101652</spage><pages>101652-</pages><artnum>101652</artnum><issn>0301-4207</issn><eissn>1873-7641</eissn><abstract>The emergence of new asset classes since the last couple decades has aroused interest of the international investment community to earn optimal returns on their portfolios by including such asset classes. Among these assets, cryptocurrencies and precious metals present opportunity for investors to yield optimal portfolio returns. Our work aims to investigate the relationship between cryptocurrencies and precious metals returns based on daily pricing data from March 2017 to August 2019. Our study employs application of quantile cross spectral framework to investigate changing correlation patterns across different quantile distribution under short-, medium- and long run investment horizon. We also use non-linear causality in quantile framework to investigate spillover phenomena for returns as well as variance between these two asset classes. Our results highlights that in short-run, copper provides maximum diversification opportunities for investors with all cryptocurrencies, both under extreme market conditions. However, for medium- and long-run investment periods, precious metals under extreme positive returns distribution are not integrated with the extreme negative cryptocurrencies returns, thereby implying diversification opportunities for investors.
•We examine relationship between cryptocurrencies and precious metal commodities.•The application of quantile cross-spectral is used to analyse relationship under different quantile distribution.•We investigate integration for different investment horizons i.e. short-, medium- and long-run periods.•We also analyse the presence of asymmetric non-linear causal relationship using causality in quantile test.•Our work presents implication for short-, medium-, and long-run investors under different market conditions.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.resourpol.2020.101652</doi></addata></record> |
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subjects | Assets Causality Causality in quantiles Copper Cryptocurrencies Digital currencies Diversification Economic conditions Investment Investments Investors Metals Noble metals Portfolios Precious metals Quantile covariate unit root Quantile cross spectral |
title | Cryptocurrencies and precious metals: A closer look from diversification perspective |
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