Kelly, Bryan T.
[VerfasserIn]
;
Malamud, Semyon
[Sonstige Person, Familie und Körperschaft];
Pedersen, Lasse H.
[Sonstige Person, Familie und Körperschaft]National Bureau of Economic Research
Erschienen:
Cambridge, Mass: National Bureau of Economic Research, 2020
Erschienen in:NBER working paper series ; no. w27388
Umfang:
1 Online-Ressource; illustrations (black and white)
Sprache:
Englisch
DOI:
10.3386/w27388
Identifikator:
Reproduktionsnotiz:
Hardcopy version available to institutional subscribers
Entstehung:
Anmerkungen:
System requirements: Adobe [Acrobat] Reader required for PDF files
Mode of access: World Wide Web
Beschreibung:
We propose a new asset-pricing framework in which all securities' signals are used to predict each individual return. While the literature focuses on each security's own-signal predictability, assuming an equal strength across securities, our framework is flexible and includes cross-predictability--leading to three main results. First, we derive the optimal strategy in closed form. It consists of eigenvectors of a "prediction matrix," which we call "principal portfolios." Second, we decompose the problem into alpha and beta, yielding optimal strategies with, respectively, zero and positive factor exposure. Third, we provide a new test of asset pricing models. Empirically, principal portfolios deliver significant out-of-sample alphas to standard factors in several data sets