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Title:Conditionally parametric fits for CAPM betas PDF Logo
Authors:Abberger, Klaus
Issue Date:2004
Series/Report no.:Discussion paper series / Universität Konstanz, Center of Finance and Econometrics (CoFE) 04/04
Abstract:The CAPM model assumes stock returns to be a linear function of the market return. However, there is considerable evidence that the beta stability assumption commonly used when estimating the model is invalid. Nonparametric regression methods are used to examine the stability of beta coefficients in German stock returns. Since local polynomial regression is used for estimation, known methods for testing the stability and for bandwidth choice can be used. For some returns the test indicates time-varying betas. For these returns conditionally parametric fits are calculated.
Subjects:CAPM
time-varying betas
conditionally parametric fits
nonparametric regression
Persistent Identifier of the first edition:urn:nbn:de:bsz:352-opus-17559
Document Type:Working Paper
Appears in Collections:CoFE-Diskussionspapiere, Universität Konstanz

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