Dynamic connectedness and portfolio strategies: Energy and metal markets
In this paper, we investigate the volatility spillover effect among the global commodity futures (including both energy and metal futures; global stock markets (covering both Developed and Emerging Markets); the US bond market and the US Dollar index by employing the dynamic connectedness approach o...
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Veröffentlicht in: | Resources policy 2020-10, Vol.68, p.101778, Article 101778 |
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description | In this paper, we investigate the volatility spillover effect among the global commodity futures (including both energy and metal futures; global stock markets (covering both Developed and Emerging Markets); the US bond market and the US Dollar index by employing the dynamic connectedness approach of (Diebold and Yilmaz, 2012, 2014) based on the time-varying parameter vector autoregressive (TVP-VAR) model and using daily data for the period from January 3, 1992 to December 27, 2019. Our results indicate a moderate connectedness among the volatilities changing over time and approaching its peak level during 2007/08 global financial crises. In addition, we determine the optimal hedge ratios and portfolio weights for the commodity investors and portfolio managers. Our results indicate that for the equity market volatility investors, the highest hedging effectiveness can be reached by taking short positions in energy futures (such as natural gas), on the other hand for both the US bond and US Dollar volatility investors it can be reached by taking short positions in metal futures (such as gold).
•Volatility spillover effects among commodities and other asset classes examined.•Daily futures data from 1992 to 2019 analyzed.•Dynamic connectedness approach with a time-varying modification employed.•Dynamic connectedness of the asset volatilities increases during financial crisis.•Hedging across the asset classes is more effective than within the asset classes. |
doi_str_mv | 10.1016/j.resourpol.2020.101778 |
format | Article |
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•Volatility spillover effects among commodities and other asset classes examined.•Daily futures data from 1992 to 2019 analyzed.•Dynamic connectedness approach with a time-varying modification employed.•Dynamic connectedness of the asset volatilities increases during financial crisis.•Hedging across the asset classes is more effective than within the asset classes.</description><identifier>ISSN: 0301-4207</identifier><identifier>EISSN: 1873-7641</identifier><identifier>DOI: 10.1016/j.resourpol.2020.101778</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>American dollar ; Autoregressive models ; Bond markets ; Bonds ; Commodities ; Commodity futures ; Commodity markets ; Connectedness ; Economic crisis ; Energy ; Futures ; Gold ; Hedging ; International finance ; Investments ; Investors ; Market linkage ; Metals ; Natural gas ; Securities markets ; Stock exchanges ; Volatility ; Volatility spillover</subject><ispartof>Resources policy, 2020-10, Vol.68, p.101778, Article 101778</ispartof><rights>2020 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Oct 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c442t-49a0a3ea273fab5ba5694be33fed9aa7c100eb1d803160680320f379e7df9c683</citedby><cites>FETCH-LOGICAL-c442t-49a0a3ea273fab5ba5694be33fed9aa7c100eb1d803160680320f379e7df9c683</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0301420720301008$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27843,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Evrim Mandacı, Pınar</creatorcontrib><creatorcontrib>Cagli, Efe Çaglar</creatorcontrib><creatorcontrib>Taşkın, Dilvin</creatorcontrib><title>Dynamic connectedness and portfolio strategies: Energy and metal markets</title><title>Resources policy</title><description>In this paper, we investigate the volatility spillover effect among the global commodity futures (including both energy and metal futures; global stock markets (covering both Developed and Emerging Markets); the US bond market and the US Dollar index by employing the dynamic connectedness approach of (Diebold and Yilmaz, 2012, 2014) based on the time-varying parameter vector autoregressive (TVP-VAR) model and using daily data for the period from January 3, 1992 to December 27, 2019. Our results indicate a moderate connectedness among the volatilities changing over time and approaching its peak level during 2007/08 global financial crises. In addition, we determine the optimal hedge ratios and portfolio weights for the commodity investors and portfolio managers. Our results indicate that for the equity market volatility investors, the highest hedging effectiveness can be reached by taking short positions in energy futures (such as natural gas), on the other hand for both the US bond and US Dollar volatility investors it can be reached by taking short positions in metal futures (such as gold).
•Volatility spillover effects among commodities and other asset classes examined.•Daily futures data from 1992 to 2019 analyzed.•Dynamic connectedness approach with a time-varying modification employed.•Dynamic connectedness of the asset volatilities increases during financial crisis.•Hedging across the asset classes is more effective than within the asset classes.</description><subject>American dollar</subject><subject>Autoregressive models</subject><subject>Bond markets</subject><subject>Bonds</subject><subject>Commodities</subject><subject>Commodity futures</subject><subject>Commodity markets</subject><subject>Connectedness</subject><subject>Economic crisis</subject><subject>Energy</subject><subject>Futures</subject><subject>Gold</subject><subject>Hedging</subject><subject>International finance</subject><subject>Investments</subject><subject>Investors</subject><subject>Market linkage</subject><subject>Metals</subject><subject>Natural gas</subject><subject>Securities markets</subject><subject>Stock exchanges</subject><subject>Volatility</subject><subject>Volatility spillover</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>eNqFkFFLwzAUhYMoOKe_wYLPnUmTJq1vY04nDHzR55CmtyO1S2qSCfv3ZlZ89enA5Zxz7_0QuiV4QTDh9_3CQ3AHP7phUeDiZypEdYZmpBI0F5yRczTDFJOcFVhcoqsQeoxxKSo-Q5vHo1V7ozPtrAUdobUQQqZsm43Ox84NxmUhehVhZyA8ZGsLfnf8MewhqiHbK_8BMVyji04NAW5-dY7en9Zvq02-fX1-WS23uWasiDmrFVYUVCFop5qyUSWvWQOUdtDWSglNMIaGtBWmhGOepMAdFTWItqs1r-gc3U29o3efBwhR9ul5m1bKgpWM1DxJconJpb0LwUMnR2_SpUdJsDxhk738wyZP2OSELSWXUxLSE18GvAzagNXQGp_4yNaZfzu-AZJ_eyk</recordid><startdate>202010</startdate><enddate>202010</enddate><creator>Evrim Mandacı, Pınar</creator><creator>Cagli, Efe Çaglar</creator><creator>Taşkın, Dilvin</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>202010</creationdate><title>Dynamic connectedness and portfolio strategies: Energy and metal markets</title><author>Evrim Mandacı, Pınar ; Cagli, Efe Çaglar ; Taşkın, Dilvin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c442t-49a0a3ea273fab5ba5694be33fed9aa7c100eb1d803160680320f379e7df9c683</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>American dollar</topic><topic>Autoregressive models</topic><topic>Bond markets</topic><topic>Bonds</topic><topic>Commodities</topic><topic>Commodity futures</topic><topic>Commodity markets</topic><topic>Connectedness</topic><topic>Economic crisis</topic><topic>Energy</topic><topic>Futures</topic><topic>Gold</topic><topic>Hedging</topic><topic>International finance</topic><topic>Investments</topic><topic>Investors</topic><topic>Market linkage</topic><topic>Metals</topic><topic>Natural gas</topic><topic>Securities markets</topic><topic>Stock exchanges</topic><topic>Volatility</topic><topic>Volatility spillover</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Evrim Mandacı, Pınar</creatorcontrib><creatorcontrib>Cagli, Efe Çaglar</creatorcontrib><creatorcontrib>Taşkın, Dilvin</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>Evrim Mandacı, Pınar</au><au>Cagli, Efe Çaglar</au><au>Taşkın, Dilvin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamic connectedness and portfolio strategies: Energy and metal markets</atitle><jtitle>Resources policy</jtitle><date>2020-10</date><risdate>2020</risdate><volume>68</volume><spage>101778</spage><pages>101778-</pages><artnum>101778</artnum><issn>0301-4207</issn><eissn>1873-7641</eissn><abstract>In this paper, we investigate the volatility spillover effect among the global commodity futures (including both energy and metal futures; global stock markets (covering both Developed and Emerging Markets); the US bond market and the US Dollar index by employing the dynamic connectedness approach of (Diebold and Yilmaz, 2012, 2014) based on the time-varying parameter vector autoregressive (TVP-VAR) model and using daily data for the period from January 3, 1992 to December 27, 2019. Our results indicate a moderate connectedness among the volatilities changing over time and approaching its peak level during 2007/08 global financial crises. In addition, we determine the optimal hedge ratios and portfolio weights for the commodity investors and portfolio managers. Our results indicate that for the equity market volatility investors, the highest hedging effectiveness can be reached by taking short positions in energy futures (such as natural gas), on the other hand for both the US bond and US Dollar volatility investors it can be reached by taking short positions in metal futures (such as gold).
•Volatility spillover effects among commodities and other asset classes examined.•Daily futures data from 1992 to 2019 analyzed.•Dynamic connectedness approach with a time-varying modification employed.•Dynamic connectedness of the asset volatilities increases during financial crisis.•Hedging across the asset classes is more effective than within the asset classes.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.resourpol.2020.101778</doi></addata></record> |
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subjects | American dollar Autoregressive models Bond markets Bonds Commodities Commodity futures Commodity markets Connectedness Economic crisis Energy Futures Gold Hedging International finance Investments Investors Market linkage Metals Natural gas Securities markets Stock exchanges Volatility Volatility spillover |
title | Dynamic connectedness and portfolio strategies: Energy and metal markets |
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