Large losses-probability minimizing approach
The probability minimizing problem for large losses of portfolio in discrete and continuous time models is studied. This gives a generalization of quantile hedging presented in [3].
The probability minimizing problem for large losses of portfolio in discrete and continuous time models is studied. This gives a generalization of quantile hedging presented in [3].
This paper presents in a simple and unified framework the Least-Squares approximation of posterior expectations. Particular structures of the sampling process and of the prior distribution are used to organize and to generalize previous results. The two basic structures are obtained by considering unbiased estimators and exchangeable processes. These ideas are applied to the estimation of the mean. Sufficient reduction of the data is analysed when only the Least-Squares approximation is involved....
Cet article étudie un ouvrage dont l’intérêt a été sous-estimé : les Recherches sur les rentes (Paris et Genève 1787) de Duvillard (1755–1832). Son auteur a développé, il y a plus de deux siècles, une technique financière originale analogue à l’actuel « taux interne de rentabilité » (un critère pour les choix d’investissements, fondé sur l’actualisation) et il l’a appliquée à l’évaluation des rentes viagères lors de la crise qui a précédé la Révolution française. Il a utilisé à cet effet des méthodes...