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

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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Field Value
Source ISSN: 1460-1559
Author Goutte, Stéphane, Oudjane, Nadia, Russo, Francesco
Maintainer CCSD
Last Updated May 18, 2026, 06:58 (UTC)
Created May 18, 2026, 06:58 (UTC)
Identifier inria-00473032
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire Analyse, Géométrie et Applications (LAGA) ; Université Paris 8 (UP8)-Université Paris 13 (UP13)-Institut Galilée-Centre National de la Recherche Scientifique (CNRS)
creator Goutte, Stéphane
date 2014-01-18T00:00:00
harvest_object_id ac4ecfbe-8a79-471e-923e-9a9131ac90ab
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-04-01T00:00:00
relation info:eu-repo/semantics/altIdentifier/arxiv/1205.4089
set_spec type:ART