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Efficient Estimation of Firm-Specific Betas and its Benefits for Asset Pricing Tests and Portfolio Choice

Listed author(s):
  • Cosemans, M.
  • Frehen, R.G.P.
  • Schotman, P.C.
  • Bauer, R.M.M.J.

We improve both the specification and estimation of firm-specific betas. Time variation in betas is modeled by combining a parametric specification based on economic theory with a non-parametric approach based on data-driven filters. We increase the precision of individual beta estimates by setting up a hierarchical Bayesian panel data model that imposes a common structure on parameters. We show that these accurate beta estimates lead to a large increase in the cross-sectional explanatory power of the conditional CAPM. Using the betas to forecast the covariance matrix of returns also results in a significant improvement in the out-of-sample performance of minimum variance portfolios.

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File URL: https://mpra.ub.uni-muenchen.de/23557/1/MPRA_paper_23557.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 23557.

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Date of creation: 22 Jun 2009
Handle: RePEc:pra:mprapa:23557
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