Publication:
A model-independent measure of aggregate idiosyncratic risk

dc.contributor.coauthorCakici, Nusret
dc.contributor.coauthorLevy, Haim
dc.contributor.departmentDepartment of Economics
dc.contributor.kuauthorBali, Turan
dc.contributor.kuprofileOther
dc.contributor.otherDepartment of Economics
dc.contributor.schoolcollegeinstituteCollege of Administrative Sciences and Economics
dc.contributor.yokidN/A
dc.date.accessioned2024-11-09T23:22:21Z
dc.date.issued2008
dc.description.abstractThis paper introduces a model-independent measure of aggregate idiosyncratic risk, which does not require estimation of market betas or correlations and is based on the concept of gain from portfolio diversification. The statistical results and graphical analyses provide strong evidence that there are significant level and trend differences between the average idiosyncratic volatility measures of Campbell et al. [Campbell, J.Y., Lettau, M., Malkiel, B.G., and Xu, Y., 2001, Have individual stocks become more volatile? An empirical exploration of idiosyncratic risk, journal of Finance 56, 1-43.] and the new methodology. Although both approaches indicate a noticeable increase in the firm-level idiosyncratic risk, the volatility measure of CLMX is greater and has a stronger upward trend than the new idiosyncratic volatility measure. For both measures of idiosyncratic risk, the upward trend is found to be stronger for smaller. lower-priced, and younger firms. The analytical and empirical results show that the significant upward trend in the differences of the two idiosyncratic volatility measures is related to the increase in the cross-sectional dispersion of the volatility of individual stocks.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.issue5
dc.description.openaccessNO
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.volume15
dc.identifier.doi10.1016/j.jempfin.2008.02.002
dc.identifier.eissn1879-1727
dc.identifier.issn0927-5398
dc.identifier.quartileQ2
dc.identifier.scopus2-s2.0-52049097301
dc.identifier.urihttp://dx.doi.org/10.1016/j.jempfin.2008.02.002
dc.identifier.urihttps://hdl.handle.net/20.500.14288/11060
dc.identifier.wos260269300007
dc.keywordsIdiosyncratic risk
dc.keywordsTotal risk
dc.keywordsAverage stock risk
dc.keywordsStock market volatility
dc.keywordsStock returns individual stocks
dc.keywordsVolatility
dc.keywordsReturns
dc.keywordsMarket
dc.keywordsHeteroskedasticity
dc.keywordsEquity
dc.keywordsWealth
dc.keywordsTime
dc.languageEnglish
dc.publisherElsevier
dc.sourceJournal of Empirical Finance
dc.subjectBusiness, finance
dc.subjectEconomics
dc.titleA model-independent measure of aggregate idiosyncratic risk
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.authoridN/A
local.contributor.kuauthorBali, Turan
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relation.isOrgUnitOfPublication.latestForDiscovery7ad2a3bb-d8d9-4cbd-a6a3-3ca4b30b40c3

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