Returns synchronization and daily correlation dynamics between international stock markets
The use of close-to-close returns underestimates returns correlation because international stock markets have different trading hours. With the availability of 16:00 (London time) stock market series, we find dynamics of daily correlation and covariance, estimated using two non-synchroneity adjustme...
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Veröffentlicht in: | Journal of banking & finance 2001-10, Vol.25 (10), p.1805-1827 |
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container_title | Journal of banking & finance |
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creator | Martens, Martin Poon, Ser-Huang |
description | The use of close-to-close returns underestimates returns correlation because international stock markets have different trading hours. With the availability of 16:00 (London time) stock market series, we find dynamics of daily correlation and covariance, estimated using two non-synchroneity adjustment procedures, to be substantially different from their synchronous counterparts. Conditional correlation may have different signs depending on the model and data type used. Other findings include volatility spillover from the US to the UK (and France), and a reverse spillover which is not documented before. Also, unlike previous findings, we found the increase in daily correlation is prominent only under extremely adverse conditions when a large
negative return has been registered. |
doi_str_mv | 10.1016/S0378-4266(00)00159-X |
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negative return has been registered.</description><subject>Asymmetry effect</subject><subject>Banking</subject><subject>Correlation</subject><subject>Correlation analysis</subject><subject>Dynamic correlation</subject><subject>Finance</subject><subject>GARCH</subject><subject>International</subject><subject>Rates of return</subject><subject>Securities markets</subject><subject>Stock exchange</subject><subject>Stock exchanges</subject><subject>Stock returns</subject><subject>Studies</subject><subject>Synchronic analysis</subject><subject>Synchronous data</subject><subject>Value-at-risk</subject><subject>Volatility</subject><issn>0378-4266</issn><issn>1872-6372</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><sourceid>X2L</sourceid><recordid>eNqFUE1r3DAUFKWFbpP-hILpoTQHN_qwLPkUSkjSQkIhaSH0ImTpmWjjlTaSNsH59ZXXJYdeKpDm8TQzvDcIfSD4C8GkPb7BTMi6oW37GeMjjAnv6ttXaEWkoHXLBH2NVi-Ut-hdSmtcjiRshX5fQ95Fn6o0eXMXg3fPOrvgK-1tZbUbp8qEGGFcunbyeuNMqnrITwC-cj5D9PtPPVYpB3NfbXS8h5wO0ZtBjwne_8UD9Ov87Ofpt_ryx8X306-XteFNl2vNsRGy763mrW6s4Mz2ZhBUYC7bjnLbENkMvOPEDn3T4QKSsTI9Kd2hp-wAfVp8tzE87CBltXHJwDhqD2GXFJMMN4KSQvz4D3Edyu5lNkW6RnZUsJnEF5KJIaUIg9pGVzaaFMFqjlvt41ZzlgpjtY9b3Rbd1aKLsAXzIgKAdT84r9WjYpry8kxzUWQFXLnFluntXEjMFZFUqLu8KX4nix-U6B4dRJWMA2_AuggmKxvcfyb6A2pYokM</recordid><startdate>20011001</startdate><enddate>20011001</enddate><creator>Martens, Martin</creator><creator>Poon, Ser-Huang</creator><general>Elsevier B.V</general><general>Elsevier</general><general>Elsevier Sequoia S.A</general><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope></search><sort><creationdate>20011001</creationdate><title>Returns synchronization and daily correlation dynamics between international stock markets</title><author>Martens, Martin ; Poon, Ser-Huang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c549t-a50c78bbda56a4d753dbcf7270586925d4184f5951dfb4901df83308114f5fb23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Asymmetry effect</topic><topic>Banking</topic><topic>Correlation</topic><topic>Correlation analysis</topic><topic>Dynamic correlation</topic><topic>Finance</topic><topic>GARCH</topic><topic>International</topic><topic>Rates of return</topic><topic>Securities markets</topic><topic>Stock exchange</topic><topic>Stock exchanges</topic><topic>Stock returns</topic><topic>Studies</topic><topic>Synchronic analysis</topic><topic>Synchronous data</topic><topic>Value-at-risk</topic><topic>Volatility</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Martens, Martin</creatorcontrib><creatorcontrib>Poon, Ser-Huang</creatorcontrib><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>CrossRef</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><jtitle>Journal of banking & finance</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Martens, Martin</au><au>Poon, Ser-Huang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Returns synchronization and daily correlation dynamics between international stock markets</atitle><jtitle>Journal of banking & finance</jtitle><date>2001-10-01</date><risdate>2001</risdate><volume>25</volume><issue>10</issue><spage>1805</spage><epage>1827</epage><pages>1805-1827</pages><issn>0378-4266</issn><eissn>1872-6372</eissn><coden>JBFIDO</coden><abstract>The use of close-to-close returns underestimates returns correlation because international stock markets have different trading hours. With the availability of 16:00 (London time) stock market series, we find dynamics of daily correlation and covariance, estimated using two non-synchroneity adjustment procedures, to be substantially different from their synchronous counterparts. Conditional correlation may have different signs depending on the model and data type used. Other findings include volatility spillover from the US to the UK (and France), and a reverse spillover which is not documented before. Also, unlike previous findings, we found the increase in daily correlation is prominent only under extremely adverse conditions when a large
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source | RePEc; Elsevier ScienceDirect Journals |
subjects | Asymmetry effect Banking Correlation Correlation analysis Dynamic correlation Finance GARCH International Rates of return Securities markets Stock exchange Stock exchanges Stock returns Studies Synchronic analysis Synchronous data Value-at-risk Volatility |
title | Returns synchronization and daily correlation dynamics between international stock markets |
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