Super-replication in Stochastic Volatility Models under Portfolio Constraints
نویسندگان
چکیده
We study a financial market with incompleteness arising from two sources: stochastic volatility and portfolio constraints. The latter are given in terms of bounds imposed on the borrowing and short-selling of a ‘hedger’ in this market, and can be described by a closed convex set K . We find explicit characterizations of the minimal price needed to super-replicate European-type contingent claims in this framework. The results depend on whether the volatility is bounded away from zero and/or infinity, and also, on if we have linear dynamics for the stock price process, and whether the volatility process depends on the stock price. We use a previously known representation of the minimal price as a supremum of the prices in the corresponding shadow markets, and we derive a PDE characterization of that representation.
منابع مشابه
Direct characterization of the value of super-replication under stochastic volatility and portfolio constraints
We study the problem of minimal initial capital needed in order to hedge a European contingent claim without risk. The nancial market presents incompleteness arising from two sources: stochastic volatility and portfolio constraints described by a closed convex set. In contrast with previous literature which uses the dual formulation of the problem, we use an original dynamic programming princip...
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 کاملStochastic-Volatility, Jump-Diffusion Optimal Portfolio Problem with Jumps in Returns and Volatility
This paper treats the risk-averse optimal portfolio problem with consumption in continuous time for a stochastic-jump-volatility, jump-diffusion (SJVJD) model of the underlying risky asset and the volatility. The new developments are the use of the SJVJD model with logtruncated-double-exponential jump-amplitude distribution in returns and exponential jumpamplitude distribution in volatility for...
متن کاملThe American version of the Geometric Dynamic Programming Principle : Application to the pricing of American options under constraints
We provide an American version of the Geometric Dynamic Programming Principle of Soner and Touzi [22] for stochastic target problems. This opens the doors to a wide range of applications, particularly in risk control in finance and insurance, in which a controlled stochastic process has to be maintained in a given set on a time interval [0, T ]. As an example of application, we show how it can ...
متن کاملOptimal Portfolio Problem for Stochastic-Volatility, Jump-Diffusion Models with Jump-Bankruptcy Condition: Practical Theory
This paper treats the risk-averse optimal portfolio problem with consumption in continuous time with a stochastic-volatility, jump-diffusion (SVJD) model of the underlying risky asset and the volatility. The new developments are the use of the SVJD model with double-uniform jumpamplitude distributions and time-varying market parameters for the optimal portfolio problem. Although unlimited borro...
متن کامل