Evaluating conditional asset pricing models for the German stock market
Andreas Schrimpf,
Michael Schröder and
Richard Stehle
No 06-043, ZEW Discussion Papers from ZEW - Leibniz Centre for European Economic Research
Abstract:
We study the performance of conditional asset pricing models in explaining the German cross-section of stock returns. Our test assets are portfolios sorted by size and book-to-market as in the paper by Fama and French (1993). Our results show that the empirical performance of the Capital Asset Pricing Model (CAPM) can be improved substantially when allowing for time-varying parameters of the stochastic discount factor. A conditional CAPM with the term spread as a conditioning variable is able to explain the cross-section of German stock returns about as well as the Fama-French model. Structural break tests do not indicate parameter instability of the model - whereas the reverse is found for the Fama-French model. Unconditional model specifications however do a better job than conditional ones at capturing time-series predictability of the test portfolio returns.
Keywords: Asset Pricing; Conditioning Information; Hansen-Jagannathan Distance; Multifactor Models (search for similar items in EconPapers)
JEL-codes: G12 (search for similar items in EconPapers)
Date: 2006
New Economics Papers: this item is included in nep-cfn, nep-eec and nep-rmg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://www.econstor.eu/bitstream/10419/24498/1/dp06043.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:zbw:zewdip:5433
Access Statistics for this paper
More papers in ZEW Discussion Papers from ZEW - Leibniz Centre for European Economic Research Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().