Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/30762
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dc.contributor.authorMcMillan, Daviden_UK
dc.contributor.authorElgammal, Mohammeden_UK
dc.contributor.authorAhmed, Fatmaen_UK
dc.date.accessioned2020-02-29T01:17:50Z-
dc.date.available2020-02-29T01:17:50Z-
dc.date.issued2020en_UK
dc.identifier.urihttp://hdl.handle.net/1893/30762-
dc.description.abstractPurpose This paper considers the economic information content within several popular stock market factors and to the extent to which their movements are both explained by economic variables and can explain future output growth. Design/methodology/approach Using USA stock portfolios from 1964 to 2019, we undertake three related exercises: whether a set of common factors contain independent predictive ability for stock returns, what economic and market variables explain movements in the factors and whether stock market factors have predictive power for future output growth. Findings The results show that several of the considered factors do not contain independent information for stock returns. Further, most of these factors are not explained by economic conditions, nor they provide any predictive power for future output growth. Thus, they appear to contain very little economic content. However, the results suggest that the impact of these factors is more prominent with higher macroeconomic risk (contractionary regime). Research limitations/implications The stock market factors are more likely to reflect existing market conditions and exhibit a weaker relation with economic conditions and do not act as a window on future behaviour. Practical implications Fama and French 3 factor model still have better explanations for stock returns and economic information more than any other model. Originality/value We contribute to the literature by examining whether a selection of factors provides unique information when modelling stock returns data. It also investigates what variables can predict movements in the stock market factors. Third, it examines whether the factors exhibit a link with subsequent economic output. This should establish whether the stock market factors contain useful information for stock returns and the macroeconomy or whether the significance of the factor is a result of chance. The results in this paper should advance our understanding of asset price movement and the links between the macroeconomy and financial markets and thus be of interest to academics, investors and policymakers.en_UK
dc.language.isoenen_UK
dc.publisherEmeralden_UK
dc.relationMcMillan D, Elgammal M & Ahmed F (2020) The Information Content of US Stock Market Factors. Studies in Economics and Finance, 37 (2), pp. 323-346. https://doi.org/10.1108/SEF-10-2019-0385en_UK
dc.rightsPublisher policy allows this work to be made available in this repository. Published in Studies in Economics and Finance by Emerald. The original publication is available at: https://doi.org/10.1108/SEF-10-2019-0385. This article is deposited under the Creative Commons Attribution Non-commercial International Licence 4.0 (CC BY-NC 4.0). Any reuse is allowed in accordance with the terms outlined by the licence (https://creativecommons.org/licenses/by-nc/4.0/). To reuse the AAM for commercial purposes, permission should be sought by contacting permissions@emeraldinsight.com.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/en_UK
dc.subjectStock Market Factorsen_UK
dc.subjectGDP Growthen_UK
dc.subjectPredictabilityen_UK
dc.subjectMacro economic risken_UK
dc.subjectAsset Pricingen_UK
dc.titleThe Information Content of US Stock Market Factorsen_UK
dc.typeJournal Articleen_UK
dc.rights.embargodate2020-06-13en_UK
dc.identifier.doi10.1108/SEF-10-2019-0385en_UK
dc.citation.jtitleStudies in Economics and Financeen_UK
dc.citation.issn1086-7376en_UK
dc.citation.volume37en_UK
dc.citation.issue2en_UK
dc.citation.spage323en_UK
dc.citation.epage346en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.contributor.funderQatar National Research Funden_UK
dc.author.emaildavid.mcmillan@stir.ac.uken_UK
dc.citation.date13/06/2020en_UK
dc.contributor.affiliationAccounting & Financeen_UK
dc.contributor.affiliationQatar Universityen_UK
dc.contributor.affiliationSwansea Universityen_UK
dc.identifier.scopusid2-s2.0-85086568760en_UK
dc.identifier.wtid1508897en_UK
dc.contributor.orcid0000-0002-5891-4193en_UK
dc.date.accepted2020-01-15en_UK
dcterms.dateAccepted2020-01-15en_UK
dc.date.filedepositdate2020-01-31en_UK
dc.relation.funderprojectExpected Stock Returns and Asset Pricingen_UK
dc.relation.funderrefNPRP-8-601-5-074en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionAMen_UK
local.rioxx.authorMcMillan, David|0000-0002-5891-4193en_UK
local.rioxx.authorElgammal, Mohammed|en_UK
local.rioxx.authorAhmed, Fatma|en_UK
local.rioxx.projectNPRP-8-601-5-074|Qatar National Research Fund|http://dx.doi.org/10.13039/100008982en_UK
local.rioxx.freetoreaddate2020-06-13en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||2020-06-13en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by-nc/4.0/|2020-06-13|en_UK
local.rioxx.filenamesief_information_content.PDFen_UK
local.rioxx.filecount1en_UK
local.rioxx.source1086-7376en_UK
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