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Hedging under multiple risk constraints

Ying Jiao (), Olivier Klopfenstein () and Peter Tankov ()
Additional contact information
Ying Jiao: Université Claude Bernard – Lyon I
Olivier Klopfenstein: EDF R&D
Peter Tankov: Université Paris-Diderot (Paris 7)

Finance and Stochastics, 2017, vol. 21, issue 2, No 2, 396 pages

Abstract: Abstract Motivated by the asset–liability management problems under shortfall risk constraints, we consider in a general discrete-time framework the problem of finding the least expensive portfolio whose shortfalls with respect to a given set of stochastic benchmarks are bounded by a specific shortfall risk measure. We first show how the price of this portfolio may be computed recursively by dynamic programming for different shortfall risk measures, in complete and incomplete markets. We then focus on the specific situation where the shortfall risk constraints are imposed at each period on the next-period shortfalls, and obtain explicit results. Finally, we apply our results to a realistic asset–liability management problem of an energy company, and show how the shortfall risk constraints affect the optimal hedging of liabilities.

Keywords: Multiple risk constraints; Snell envelope; Dynamic programming; Shortfall risk; Asset–liability management; 91G10; 93E20 (search for similar items in EconPapers)
JEL-codes: G11 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s00780-017-0326-6

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