Quadratic minimization with portfolio and terminal wealth constraints
Andrew Heunis ()
Annals of Finance, 2015, vol. 11, issue 2, 243-282
Abstract:
We address a problem of stochastic optimal control drawn from the area of mathematical finance. The goal is to minimize the expected value of a general quadratic loss function of the wealth at close of trade when there is a specified convex constraint on the portfolio over the trading interval, together with a specified almost-sure lower-bound on the wealth at close of trade. We use a variational approach of Rockafellar which leads naturally to an appropriate vector space of dual variables, a dual functional on the space of dual variables such that the dual problem of maximizing the dual functional is guaranteed to have a solution (i.e. a Lagrange multiplier) when a simple and natural Slater condition holds for the terminal wealth constraint, and obtain necessary and sufficient conditions for optimality of a candidate wealth process. The dual variables are pairs, each comprising an Itô process paired with a member of the adjoint of the space of essentially bounded random variables measurable with respect to the event $$\sigma $$ σ -algebra at close of trade. The necessary and sufficient conditions are used to construct an optimal portfolio in terms of the Lagrange multiplier. The dual problem simplifies to maximization of a concave function over the real line when the portfolio is unconstrained but the terminal wealth constraint is maintained. Copyright Springer-Verlag Berlin Heidelberg 2015
Keywords: Portfolio optimization; Stochastic control; Conjugate duality; Constraints; Lagrange multiplier; Slater condition; C61; C65; G11 (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:kap:annfin:v:11:y:2015:i:2:p:243-282
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DOI: 10.1007/s10436-014-0254-9
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