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Rationalizing Size, Value, and Momentum Effects with a CAPM2

dc.contributor.authorPiccioni, Isacco
dc.date.accessioned2014-03-19T16:57:57Z
dc.date.available2014-03-19T16:57:57Z
dc.date.issued2016-02
dc.identifier1225en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/106393
dc.description.abstractThis paper shows that a Capital Asset Pricing Model based on Continuous Asymmetric Polynomial Models (CAPM2) can identify the sources of risk that drive the cross section of stock returns. In accordance with recent decision theory models, the CAPM2 can price the key factors that drive risky choice behavior: (i) Goal Achievement (importance of the overall probability of obtaining positive payoffs), (ii) Loss Aversion (losses loom larger than gains), and (iii) preference for Security/Potential (downside risk aversion and preference for upside potential). These three factors are also the key drivers of size, value, and momentum portfolio returns. Therefore, size, value, and momentum factors do not load when they are tested on the CAPM2. Moreover, zero cost portfolios that take long (short) positions on securities with the highest (lowest) loadings on the three CAPM2 factors deliver positive and statistically significant risk adjusted returns.en_US
dc.subjectdecision making under risken_US
dc.subjectportfolio choiceen_US
dc.subjecttarget returnsen_US
dc.subject.classificationFinanceen_US
dc.titleRationalizing Size, Value, and Momentum Effects with a CAPM2en_US
dc.typeWorking Paperen_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelBusinessen_US
dc.contributor.affiliationumRoss School of Businessen_US
dc.contributor.affiliationumcampusAnn Arbor
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/106393/1/1225_Piccioni.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/106393/4/1225_Piccioni_Feb 2016.pdf
dc.description.filedescriptionDescription of 1225_Piccioni_Feb 2016.pdf : February 2016 revision
dc.owningcollnameBusiness, Stephen M. Ross School of - Working Papers Series


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