Arbitrage pricing theory, the stochastic discount factor and estimation of risk premia from portfolios
Smith, Ron P. and Pesaran, M. Hashem (2021) Arbitrage pricing theory, the stochastic discount factor and estimation of risk premia from portfolios. Working Paper. Munich Society for the Promotion of Economic Research - CESifo, Munich, Germany.
Abstract
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.
Metadata
| Item Type: | Monograph (Working Paper) |
|---|---|
| Additional Information: | CESifo Working Paper No. 9001. ISSN: 2364-142. |
| Keyword(s) / Subject(s): | arbitrage pricing theory, stochastic discount factor, portfolios, factor strength, identification of risk premia, two-pass regressions, Fama-MacBeth. |
| School: | Birkbeck Faculties and Schools > Faculty of Business and Law > Birkbeck Business School |
| Research Centres and Institutes: | Applied Macroeconomics, Birkbeck Centre for |
| Depositing User: | Ron Smith |
| Date Deposited: | 25 Mar 2022 13:59 |
| Last Modified: | 02 Aug 2023 18:10 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/44480 |
Statistics
Additional statistics are available via IRStats2.
Archive Staff Only (login required)
 |
Edit/View Item |