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Shortfall risk minimising strategies in the binomial model: characterisation and convergence
Authors:Gino Favero  Tiziano Vargiolu
Affiliation:(1) Istituto di Metodi Quantitativi, Università Commerciale “L. Bocconi”, viale Isonzo 25, 20133 Milano, Italy;(2) Dipartimento di Matematica Pura ed Applicata, Università degli Studi di Padova, via Belzoni 7, 35131 Padova, Italy
Abstract:In this paper we study the dependence on the loss function of the strategy, which minimises the expected shortfall risk when dealing with a financial contingent claim in the particular situation of a binomial model. After having characterised the optimal strategies in the particular cases when the loss function is concave, linear or strictly convex, we analyse how optimal strategies change when we approximate a loss function with a sequence of suitable loss functions.The first author accomplished most of this research as a post-doc fellow in the Pure and Applied Mathematics Dept. of Padua University, which is gratefully acknowledged.
Keywords:Shortfall risk minimization  Binomial model  Dynamic Programming algorithm  Robustness
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