Conditioning the information in portfolio optimization

Giovanni Barone Adesi, Carlo Sala

Producció científica: Article en revista no indexadaArticle

Resum

This paper proposes a theoretical analysis of the impact of a suboptimal information set on the two main components used in asset pricing, namely the physical and neutral probability measures and the pricing kernel they define. The analysis is carried out by means of a portfolio optimization problem for a small and rational investor. Solving for the maximal expected utility of terminal wealth, it proves the existence of an information premium between what is required by the theory, that is a complete information set-thus a fully conditional measure-and what is instead achievable by an econometrician using real data. Searching for the best bounds, it then studies the impact of the premium on the pricing kernel. Finally, exploiting the strong interconnection between the pricing kernel and its densities, the impact of the premium on the risk-neutral measure is analyzed.
Idioma originalAnglès
Pàgines598-625
Publicació especialitzadaJournal of Mathematical Finance
DOIs
Estat de la publicacióPublicada - 1 de nov. 2016

Fingerprint

Navegar pels temes de recerca de 'Conditioning the information in portfolio optimization'. Junts formen un fingerprint únic.

Com citar-ho