Prediction of systematic risk: "a case from Turkey"

buir.advisorAkdoğan, Haluk
dc.contributor.authorSağlam, İsmail
dc.date.accessioned2016-01-08T20:10:22Z
dc.date.available2016-01-08T20:10:22Z
dc.date.issued1993
dc.departmentDepartment of Economicsen_US
dc.descriptionAnkara : The Department of Economics and the Institute of Economics and Social Sciences of Bilkent Univ., 1993.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 1993.en_US
dc.descriptionIncludes bibliographical references.en_US
dc.description.abstractThis stjid}^ sugpjosts Bayesian and time-varying models to adjust for the regression tc'ndeiK'y of lietas [iresent in standard asset i)ricing applications. Beta, adjustment techniciues are a])])li('d to the Istcinl.^ul Stock Exchange da.ta. Empirical findings show tlia.t MSE (Mean Square Error) are lowest among all models used in tlie study when log-linear or sciuare-root linear Blume modcds are used and lietas predicted according to Bayesian models have lower MSl·^ tlian unadjusted Ivetas. Also, it is oliserved tha,t inediciency ])art of tlie MSE changes most when various adjustment teclmiques are uschLen_US
dc.description.degreeM.A.en_US
dc.description.statementofresponsibilitySağlam, İsmailen_US
dc.format.extentvii, 32 leavesen_US
dc.identifier.urihttp://hdl.handle.net/11693/17447
dc.language.isoEnglishen_US
dc.publisherBilkent Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectSystematic Risken_US
dc.subjectMean Square Error.en_US
dc.subjectBeta Predictionen_US
dc.subjectEmpirical Bayesen_US
dc.subjectİstanbul Stock Exchangeen_US
dc.subject.lccHG4661 .S24 1993en_US
dc.subject.lcshStock price forecasting.en_US
dc.subject.lcshStocks.en_US
dc.subject.lcshInvestments--Mathematical models.en_US
dc.titlePrediction of systematic risk: "a case from Turkey"en_US
dc.typeThesisen_US

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