| Université Paris 6 Pierre et Marie Curie | Université Paris 7 Denis Diderot | |
| CNRS U.M.R. 7599 | ||
| ``Probabilités et Modèles Aléatoires'' | ||
Auteur(s):
Code(s) de Classification MSC:
Résumé: We define and study the notion of static and dynamic weak anticipation in financial markets, both complete and incomplete. We compute the minimal gain in utility provided by such information and characterize a minimal associated probability measure. It is remarkable that this probability is independent of the utility function used by the trader both in the static and dynamic case.
Mots Clés: Portfolio optimization ; Incomplete markets ; Weak information ;
Weak information flow ; Additional utility ; Conditioned stochastic
differential equation ; Dynamic conditioning ; Schrödinger processes
Date: 2002-05-06
Prépublication numéro: PMA-724
Pdf file : PMA-724.pdf