Arbeitspapier

Conditionally parametric fits for CAPM betas

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.

Language
Englisch

Bibliographic citation
Series: CoFE Discussion Paper ; No. 04/04

Classification
Wirtschaft
Subject
CAPM
time-varying betas
conditionally parametric fits
nonparametric regression
Capital Asset Pricing Model
Beta-Faktor
Nichtlineares Verfahren
Schätztheorie
Theorie

Event
Geistige Schöpfung
(who)
Abberger, Klaus
Event
Veröffentlichung
(who)
University of Konstanz, Center of Finance and Econometrics (CoFE)
(where)
Konstanz
(when)
2004

Handle
URN
urn:nbn:de:bsz:352-opus-17559
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Abberger, Klaus
  • University of Konstanz, Center of Finance and Econometrics (CoFE)

Time of origin

  • 2004

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