We consider variance-optimal hedging when trading is restricted to a finite time set. Using Laplace transform methods, we derive semi-explicit formulas for the variance-optimal initial capital and hedging strategy in affine stochastic volatility models. For the corresponding minimal expected squared hedging error, we propose a closed-form approximation as well as a simulation approach. The results are illustrated by comput-ing the relevant quantities in a time-changed Lévy model
In this work, we study the problem of mean-variance hedging with a random horizon T ^ tau , where T ...
We solve the problems of mean-variance hedging (MVH) and mean–variance portfolio selection (MVPS) un...
International audienceIn this work, we study the problem of mean-variance hedging with a random hori...
In this article, we solve the variance-optimal hedging problem in stochastic volatility (SV) models ...
Abstract: We solve the problem of approximating in L2 a given random variable H by stochastic integr...
We solve the problem of approximating in L"2 a given random variable H by stochastic integrals ...
Abstract. In this paper we discuss the tractability of stochastic volatility models for pricing and ...
Techniques in stochastic analysis are presented in a continuous time framework.We then review method...
In the Black-Scholes option pricing paradigm it is assumed that the market-mak- er designs a continu...
In this paper we consider the mean-variance hedging problem of a continuous state space financial mo...
Abstract. Building on the work of Schweizer (1995) and Černy ́ and Kallsen (2007), we present discr...
We present a closed form solution for the optimal hedging strategy, in discrete time, of an option w...
We explicitly compute the optimal strategy in discrete time for a European option and the variance o...
We propose a methodology based on the Laplace transform to compute the variance of the hedging error...
Using the Laplace transform approach, we compute the expected value and the variance of the error of...
In this work, we study the problem of mean-variance hedging with a random horizon T ^ tau , where T ...
We solve the problems of mean-variance hedging (MVH) and mean–variance portfolio selection (MVPS) un...
International audienceIn this work, we study the problem of mean-variance hedging with a random hori...
In this article, we solve the variance-optimal hedging problem in stochastic volatility (SV) models ...
Abstract: We solve the problem of approximating in L2 a given random variable H by stochastic integr...
We solve the problem of approximating in L"2 a given random variable H by stochastic integrals ...
Abstract. In this paper we discuss the tractability of stochastic volatility models for pricing and ...
Techniques in stochastic analysis are presented in a continuous time framework.We then review method...
In the Black-Scholes option pricing paradigm it is assumed that the market-mak- er designs a continu...
In this paper we consider the mean-variance hedging problem of a continuous state space financial mo...
Abstract. Building on the work of Schweizer (1995) and Černy ́ and Kallsen (2007), we present discr...
We present a closed form solution for the optimal hedging strategy, in discrete time, of an option w...
We explicitly compute the optimal strategy in discrete time for a European option and the variance o...
We propose a methodology based on the Laplace transform to compute the variance of the hedging error...
Using the Laplace transform approach, we compute the expected value and the variance of the error of...
In this work, we study the problem of mean-variance hedging with a random horizon T ^ tau , where T ...
We solve the problems of mean-variance hedging (MVH) and mean–variance portfolio selection (MVPS) un...
International audienceIn this work, we study the problem of mean-variance hedging with a random hori...