The cross-section of industry equity returns and global tactical asset allocation across regions and industries

dc.contributor.author Mehmet Umutlu
dc.contributor.author Pelin Bengitoz
dc.date NOV
dc.date.accessioned 2025-10-06T16:19:40Z
dc.date.issued 2020
dc.description.abstract This study investigates which index characteristics predict returns in the cross-section of local industry indexes in six regions. The results show that geographical origin and market capitalization of indexes critically determine the predictive ability of characteristics. We find that industry indexes of any market capitalization with high earnings-to-price ratio yield higher expected returns in the US Europe and Asia-Pacific. Recent winner (loser) portfolios in Europe have a tendency to outperform (underperform) recent loser (winner) portfolios in the near future for all groups of market capitalization. Small portfolios with high idiosyncratic volatility in Asia-Pacific earn an idiosyncratic volatility premium. Dividend yield is positively related to future returns of small European portfolios. These results are robust to the inclusion of transaction costs and control variables and have im-plications for portfolio managers following a global tactical asset allocation policy.
dc.identifier.doi 10.1016/j.irfa.2020.101574
dc.identifier.issn 1057-5219
dc.identifier.uri http://dx.doi.org/10.1016/j.irfa.2020.101574
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/5933
dc.language.iso English
dc.publisher ELSEVIER SCIENCE INC
dc.relation.ispartof International Review of Financial Analysis
dc.source INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS
dc.subject International portfolio management, International diversification, Global tactical asset allocation, International asset pricing
dc.subject MARKET INTEGRATION, EXPECTED RETURNS, MOMENTUM, COUNTRY, RISK, VOLATILITY, STOCKS, PREDICTABILITY, SECTOR
dc.title The cross-section of industry equity returns and global tactical asset allocation across regions and industries
dc.type Article
dspace.entity.type Publication
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gdc.description.startpage 101574
gdc.description.volume 72
gdc.identifier.openalex W3083861408
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gdc.oaire.sciencefields 0502 economics and business
gdc.oaire.sciencefields 05 social sciences
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gdc.opencitations.count 13
gdc.plumx.crossrefcites 13
gdc.plumx.mendeley 57
gdc.plumx.scopuscites 12
person.identifier.orcid Umutlu- Mehmet/0000-0003-1353-2922, Bengitoz- Pelin/0000-0003-4362-7228,
project.funder.name Scientific and Technological Research Council of Turkey (TUBITAK 2211-A) [1649B031501594]
publicationvolume.volumeNumber 72
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