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Journal Articles The Journal of Computational Finance Year : 2014

Variance Optimal Hedging for discrete time processes with independent increments. Application to Electricity Markets

Abstract

We consider the discretized version of a (continuous-time) two-factor model introduced by Benth and coauthors for the electricity markets. For this model, the underlying is the exponent of a sum of independent random variables. We provide and test an algorithm, which is based on the celebrated Foellmer-Schweizer decomposition for solving the mean-variance hedging problem. In particular, we establish that decomposition explicitely, for a large class of vanilla contingent claims. Interest is devoted in the choice of rebalancing dates and its impact on the hedging error, regarding the payoff regularity and the non stationarity of the log-price process.
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Dates and versions

inria-00473032 , version 1 (13-04-2010)
inria-00473032 , version 2 (17-05-2012)

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Stéphane Goutte, Nadia Oudjane, Francesco Russo. Variance Optimal Hedging for discrete time processes with independent increments. Application to Electricity Markets. The Journal of Computational Finance, 2014, 17 (2), pp.71-111. ⟨10.21314/JCF.2013.261⟩. ⟨inria-00473032v2⟩
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