The multi-dimensional super-replication problem under gamma constraints
نویسندگان
چکیده
The classical Black–Scholes hedging strategy of a European contingent claim may require rapid changes in the replicating portfolio. One approach to avoid this is to impose a priori bounds on the variations of the allowed trading strategies, called gamma constraints. Under such a restriction, it is in general no longer possible to replicate a European contingent claim, and super-replication is a commonly used alternative. This paper characterizes the infimum of the initial capitals that allow an investor to super-replicate the contingent claim by carefully choosing an investment strategy obeying a gamma constraint. This infimum is shown to be the unique viscosity solution of a nonstandard partial differential equation. Due to the lower gamma bound, the “intuitive” partial differential equation is not parabolic and the actual equation satisfied by the infimum is the parabolic majorant of this equation. The derivation of the viscosity property is based on new results on the small time behavior of double stochastic integrals.
منابع مشابه
The problem of super-replication under constraints
These notes present an overview of the problem of super-replication under portfolio constraints. We start by examining the duality approach and its limitations. We then concentrate on the direct approach in the Markov case which allows to handle general large investor problems and gamma constraints. In the context of the Black and Scholes model, the main result from the practical view-point is ...
متن کاملHedging under Gamma constraints by optimal stopping and face-lifting
A super-replication problem with a gamma constraint, introduced in [12], is studied in the context of the one-dimensional Black and Scholes model. Several representations of the minimal super-hedging cost are obtained using the characterization derived in [3]. It is shown that the upper bound constraint on the gamma implies that the optimal strategy consists in hedging a conveniently face-lifte...
متن کاملSuper - replication under Gamma constraints 1
In a nancial market consisting of a non risky asset and a risky one, we study the minimal initial capital needed in order to super-replicate a given contingent claim under a Gamma constraint. This is a constraint on the unbounded variation part of the hedging portfolio. We rst consider the case in which the prices are given as general Markov di usion processes and prove a veri cation theorem wh...
متن کاملOptimal Replication of Contingent Claims Under Portfolio Constraints
We study the problem of determining the minimum cost of super-replicating a nonnegative contingent claim when there are convex constraints on the portfolio weights. It is shown that the optimal cost with constraints is equal to the price of a related claim without constraints. The related claim is a dominating claim, i.e., a claim whose payo s are increased in an appropriate way relative to the...
متن کاملSmall time path behavior of double stochastic integrals and applications to stochastic control
We study the small time path behavior of double stochastic integrals of the form ∫ t 0 ( ∫ r 0 b(u)dW (u)) dW (r), where W is a d-dimensional Brownian motion and b an integrable progressively measurable stochastic process taking values in the set of d× dmatrices. We prove a law of the iterated logarithm that holds for all bounded progressively measurable b and give additional results under cont...
متن کامل