Time‐series and cross‐sectional momentum in anomaly returns
We find strong evidence of time‐series and cross‐sectional momentum in the long–short returns of a comprehensive sample of anomalies. Strategies that exploit such persistence deliver significant abnormal returns that are robust to the stock momentum effect, cannot be explained by traditional asset‐p...
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Veröffentlicht in: | European financial management : the journal of the European Financial Management Association 2021-09, Vol.27 (4), p.736-771 |
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creator | Wang, Feifei Yan, Xuemin (Sterling) Zheng, Lingling |
description | We find strong evidence of time‐series and cross‐sectional momentum in the long–short returns of a comprehensive sample of anomalies. Strategies that exploit such persistence deliver significant abnormal returns that are robust to the stock momentum effect, cannot be explained by traditional asset‐pricing models, and are more pronounced when arbitrage capital is scarcer or market liquidity is lower. Momentum in anomaly returns dissipates but does not reverse, in the long‐run. Our findings are consistent with limits‐to‐arbitrage and slow‐moving capital causing mispricing to persist. Supporting this explanation, we find that both the level and persistence of anomaly returns are positively related to idiosyncratic volatility. |
doi_str_mv | 10.1111/eufm.12290 |
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Strategies that exploit such persistence deliver significant abnormal returns that are robust to the stock momentum effect, cannot be explained by traditional asset‐pricing models, and are more pronounced when arbitrage capital is scarcer or market liquidity is lower. Momentum in anomaly returns dissipates but does not reverse, in the long‐run. Our findings are consistent with limits‐to‐arbitrage and slow‐moving capital causing mispricing to persist. Supporting this explanation, we find that both the level and persistence of anomaly returns are positively related to idiosyncratic volatility.</description><identifier>ISSN: 1354-7798</identifier><identifier>EISSN: 1468-036X</identifier><identifier>DOI: 10.1111/eufm.12290</identifier><language>eng</language><publisher>Oxford: Blackwell Publishing Ltd</publisher><subject>anomalies ; Arbitrage ; idiosyncratic volatility ; limits to arbitrage ; momentum ; Volatility</subject><ispartof>European financial management : the journal of the European Financial Management Association, 2021-09, Vol.27 (4), p.736-771</ispartof><rights>2020 John Wiley & Sons Ltd.</rights><rights>2021 John Wiley & Sons Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3010-1cd1b9d976c5465305a7e4d2681cba7163538aef4e6a277a1c55fb18f7bb3dad3</citedby><cites>FETCH-LOGICAL-c3010-1cd1b9d976c5465305a7e4d2681cba7163538aef4e6a277a1c55fb18f7bb3dad3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Feufm.12290$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Feufm.12290$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Wang, Feifei</creatorcontrib><creatorcontrib>Yan, Xuemin (Sterling)</creatorcontrib><creatorcontrib>Zheng, Lingling</creatorcontrib><title>Time‐series and cross‐sectional momentum in anomaly returns</title><title>European financial management : the journal of the European Financial Management Association</title><description>We find strong evidence of time‐series and cross‐sectional momentum in the long–short returns of a comprehensive sample of anomalies. Strategies that exploit such persistence deliver significant abnormal returns that are robust to the stock momentum effect, cannot be explained by traditional asset‐pricing models, and are more pronounced when arbitrage capital is scarcer or market liquidity is lower. Momentum in anomaly returns dissipates but does not reverse, in the long‐run. Our findings are consistent with limits‐to‐arbitrage and slow‐moving capital causing mispricing to persist. Supporting this explanation, we find that both the level and persistence of anomaly returns are positively related to idiosyncratic volatility.</description><subject>anomalies</subject><subject>Arbitrage</subject><subject>idiosyncratic volatility</subject><subject>limits to arbitrage</subject><subject>momentum</subject><subject>Volatility</subject><issn>1354-7798</issn><issn>1468-036X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kM9Kw0AQxhdRsFYvPkHAm5C6m83-yUmktCpUvLTgbdlsJpCSTepuguTmI_iMfRK3iWfnMsPHb-ZjPoRuCV6QUA_Ql3ZBkiTDZ2hGUi5jTPnHeZgpS2MhMnmJrrzfY4xTxuQMPW4rC8fvHw-uAh_ppoiMa70fJdNVbaPryLYWmq63UdUEorW6HiIHXe8af40uSl17uPnrc7Rbr7bLl3jz_vy6fNrEhmKCY2IKkmdFJrhhKWcUMy0gLRIuicm1IJwyKjWUKXCdCKGJYazMiSxFntNCF3SO7qa7B9d-9uA7tW-Df7BUCeOSSSkoD9T9RI0_OCjVwVVWu0ERrE4BqVNAagwowGSCv6oahn9Itdqt36adX9Meaos</recordid><startdate>202109</startdate><enddate>202109</enddate><creator>Wang, Feifei</creator><creator>Yan, Xuemin (Sterling)</creator><creator>Zheng, Lingling</creator><general>Blackwell Publishing Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope></search><sort><creationdate>202109</creationdate><title>Time‐series and cross‐sectional momentum in anomaly returns</title><author>Wang, Feifei ; Yan, Xuemin (Sterling) ; Zheng, Lingling</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3010-1cd1b9d976c5465305a7e4d2681cba7163538aef4e6a277a1c55fb18f7bb3dad3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>anomalies</topic><topic>Arbitrage</topic><topic>idiosyncratic volatility</topic><topic>limits to arbitrage</topic><topic>momentum</topic><topic>Volatility</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Feifei</creatorcontrib><creatorcontrib>Yan, Xuemin (Sterling)</creatorcontrib><creatorcontrib>Zheng, Lingling</creatorcontrib><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>European financial management : the journal of the European Financial Management Association</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Feifei</au><au>Yan, Xuemin (Sterling)</au><au>Zheng, Lingling</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Time‐series and cross‐sectional momentum in anomaly returns</atitle><jtitle>European financial management : the journal of the European Financial Management Association</jtitle><date>2021-09</date><risdate>2021</risdate><volume>27</volume><issue>4</issue><spage>736</spage><epage>771</epage><pages>736-771</pages><issn>1354-7798</issn><eissn>1468-036X</eissn><abstract>We find strong evidence of time‐series and cross‐sectional momentum in the long–short returns of a comprehensive sample of anomalies. Strategies that exploit such persistence deliver significant abnormal returns that are robust to the stock momentum effect, cannot be explained by traditional asset‐pricing models, and are more pronounced when arbitrage capital is scarcer or market liquidity is lower. Momentum in anomaly returns dissipates but does not reverse, in the long‐run. Our findings are consistent with limits‐to‐arbitrage and slow‐moving capital causing mispricing to persist. Supporting this explanation, we find that both the level and persistence of anomaly returns are positively related to idiosyncratic volatility.</abstract><cop>Oxford</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/eufm.12290</doi><tpages>36</tpages></addata></record> |
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subjects | anomalies Arbitrage idiosyncratic volatility limits to arbitrage momentum Volatility |
title | Time‐series and cross‐sectional momentum in anomaly returns |
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