dc.contributorEscolas::EAESP
dc.contributorFGV
dc.creatorCosta, Oswaldo Luiz do Valle
dc.creatorMaiali, Andre Cury
dc.creatorPinto, Afonso de Campos
dc.date.accessioned2018-10-25T18:23:31Z
dc.date.accessioned2019-05-22T14:19:58Z
dc.date.available2018-10-25T18:23:31Z
dc.date.available2019-05-22T14:19:58Z
dc.date.created2018-10-25T18:23:31Z
dc.date.issued2006
dc.identifier1845641744; 9781845641740
dc.identifier1743-355X
dc.identifierhttp://hdl.handle.net/10438/25242
dc.identifier10.2495/CF060111
dc.identifier2-s2.0-36148987692
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/2692837
dc.description.abstractIn this paper we consider the mean-variance hedging problem of a continuous state space financial model with the rebalancing strategies for the hedging portfolio taken at discrete times. An expression is derived for the optimal self-financing mean-variance hedging strategy problem, considering any given payoff in an incomplete market environment. To some extent, the paper extends the work of Černý [1] to the case in which prices may assume any value within a continuous state space, a situation that more closely reflects real market conditions. An expression for the 'fair hedging price' for a derivative with any given payoff is derived. Closed-form solutions for both the 'fair hedging price' and the optimal control for the case of a European call option are obtained. Numerical results indicate that the proposed method is consistently better than the Black and Scholes approach, often adopted by practitioners.
dc.languageeng
dc.relationWIT Transactions on Modelling and Simulation
dc.rightsopenAccess
dc.sourceScopus
dc.subjectDiscrete-time mean-variance hedging
dc.subjectOptimal control
dc.subjectOptions pricing
dc.subjectComputer simulation
dc.subjectOptimal control systems
dc.subjectProblem solving
dc.subjectState space methods
dc.subjectDiscrete-time mean-variance hedging
dc.subjectDiscrete time control systems
dc.titleMean-variance hedging strategies in discrete time and continuous state space
dc.typeConference Proceedings


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