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Solving the problem of partial hedging through a dual problem
S. S. Leshchenko Specialized Educational and Scientific Center –
A. N. Kolmogorov boarding School of Lomonosov Moscow State University (Moscow)
Abstract:
In this paper we consider the problem of partial hedging studied in [20]. In this problem, the risk of shortfall is estimated using a robust convex loss functional $L(\cdot)$. In our work, we formulate a dual problem different from the dual problem in [20], we prove the absence of a duality gap, and also the existence of a solution to the primal and dual problems. In addition, we obtain the results of [20] under weaker assumptions using an approach related to the application of theorems of convex analysis.
Keywords:
convex duality, real-valued convex risk measures, robust loss functionals, partial hedging.
Received: 31.10.2022 Accepted: 12.09.2023
Citation:
S. S. Leshchenko, “Solving the problem of partial hedging through a dual problem”, Chebyshevskii Sb., 24:3 (2023), 26–41
Linking options:
https://www.mathnet.ru/eng/cheb1323 https://www.mathnet.ru/eng/cheb/v24/i3/p26
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Abstract page: | 72 | Full-text PDF : | 21 | References: | 19 |
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