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Hedging Under Multiple Risk Constraints by Jiao, Ying; Klopfenstein, Olivier; Tankov, Peter is a scholarly article available to read on EtoBox.

What is Hedging Under Multiple Risk Constraints about?

Motivated by the asset-liability management of a nuclear power plant operator, we consider the problem of finding the least expensive portfolio, which outperforms a given set of stochastic benchmarks. For a specified loss function, the expected shortfall with respect to each of the benchmarks weighted by this loss function must remain bounded by a given threshold. We consider different alternative formulations of this problem in a complete market setting, establish the relationship between these formulations, present a general resolution methodology via dynamic programming in a non-Markovian context and give explicit solutions in special cases.

Author

Jiao, Ying; Klopfenstein, Olivier; Tankov, Peter

Published

2013

Language

EN