Entropic Conditions and Hedging

Samuel Njoh

ESAIM: Probability and Statistics (2007)

  • Volume: 11, page 197-216
  • ISSN: 1292-8100

Abstract

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In many markets, especially in energy markets, electricity markets for instance, the detention of the physical asset is quite difficult. This is also the case for crude oil as treated by Davis (2000). So one can identify a good proxy which is an asset (financial or physical) (one)whose the spot price is significantly correlated with the spot price of the underlying (e.g. electicity or crude oil). Generally, the market could become incomplete. We explicit exact hedging strategies for exponential utilities when the risk premium is bounded. Our result is based upon backward stochastic differential equation (BSDE) and a good choice of admissible strategies which allows us to solve our hedging problem.

How to cite

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Njoh, Samuel. "Entropic Conditions and Hedging." ESAIM: Probability and Statistics 11 (2007): 197-216. <http://eudml.org/doc/250121>.

@article{Njoh2007,
abstract = { In many markets, especially in energy markets, electricity markets for instance, the detention of the physical asset is quite difficult. This is also the case for crude oil as treated by Davis (2000). So one can identify a good proxy which is an asset (financial or physical) (one)whose the spot price is significantly correlated with the spot price of the underlying (e.g. electicity or crude oil). Generally, the market could become incomplete. We explicit exact hedging strategies for exponential utilities when the risk premium is bounded. Our result is based upon backward stochastic differential equation (BSDE) and a good choice of admissible strategies which allows us to solve our hedging problem. },
author = {Njoh, Samuel},
journal = {ESAIM: Probability and Statistics},
keywords = {Stochastic optimization; martingale representation theorem.; stochastic optimization; martingale representation theorem},
language = {eng},
month = {6},
pages = {197-216},
publisher = {EDP Sciences},
title = {Entropic Conditions and Hedging},
url = {http://eudml.org/doc/250121},
volume = {11},
year = {2007},
}

TY - JOUR
AU - Njoh, Samuel
TI - Entropic Conditions and Hedging
JO - ESAIM: Probability and Statistics
DA - 2007/6//
PB - EDP Sciences
VL - 11
SP - 197
EP - 216
AB - In many markets, especially in energy markets, electricity markets for instance, the detention of the physical asset is quite difficult. This is also the case for crude oil as treated by Davis (2000). So one can identify a good proxy which is an asset (financial or physical) (one)whose the spot price is significantly correlated with the spot price of the underlying (e.g. electicity or crude oil). Generally, the market could become incomplete. We explicit exact hedging strategies for exponential utilities when the risk premium is bounded. Our result is based upon backward stochastic differential equation (BSDE) and a good choice of admissible strategies which allows us to solve our hedging problem.
LA - eng
KW - Stochastic optimization; martingale representation theorem.; stochastic optimization; martingale representation theorem
UR - http://eudml.org/doc/250121
ER -

References

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  13. I. Karatzas and S.E. Shreve, Brownian Motion and Stochastic Calculus. Springer Verlag (1991).  Zbl0734.60060
  14. M. Kobylanski, Backward Stochastic Differential Equations and Partial Differential Equations with Quadratic Growth, The Annals of Probability2 (2000) 558–602.  Zbl1044.60045
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