Ankara : The Department of Economics and the Institute of Economics and Social Sciences of Bilkent Univ., 1993.Thesis (Master's) -- Bilkent University, 1993.Includes bibliographical references.This 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 uschLSağlam, İsmailM.S
