Arbeitspapier

Arbitrage Pricing Theory, the Stochastic Discount Factor and Estimation of Risk Premia from Portfolios

The arbitrage pricing theory (APT) attributes differences in expected returns to exposure to systematic risk factors, which are typically assumed to be strong. In this paper we consider two aspects of the APT. Firstly we relate the factors in the statistical factor model to a theoretically consistent set of factors defined by their conditional covariation with the stochastic discount factor (mt) used to price securities within inter-temporal asset pricing models. We show that risk premia arise from non-zero correlation of observed factors with mt; and the pricing errors arise from the correlation of the errors in the statistical factor model with mt: Secondly we compare estimates of factor risk premia using portfolios with the ones obtained using individual securities, and show that the identification conditions in terms of the strength of the factor are the same and that, in general, no clear cut ranking of the small sample bias of the two estimators is possible.

Sprache
Englisch

Erschienen in
Series: CESifo Working Paper ; No. 9001

Klassifikation
Wirtschaft
Multiple or Simultaneous Equation Models: Classification Methods; Cluster Analysis; Principal Components; Factor Models
Asset Pricing; Trading Volume; Bond Interest Rates
Thema
arbitrage pricing theory
stochastic discount factor
portfolios
factor strength
identification of risk premia
two-pass regressions
Fama-MacBeth

Ereignis
Geistige Schöpfung
(wer)
Pesaran, M. Hashem
Smith, Ron P.
Ereignis
Veröffentlichung
(wer)
Center for Economic Studies and Ifo Institute (CESifo)
(wo)
Munich
(wann)
2021

Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Pesaran, M. Hashem
  • Smith, Ron P.
  • Center for Economic Studies and Ifo Institute (CESifo)

Entstanden

  • 2021

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