Time-Consistent Asset Allocation for Risk Measures in a L\'evy Market
Felix Fie{\ss}inger and
Mitja Stadje
Papers from arXiv.org
Abstract:
Focusing on gains & losses relative to a risk-free benchmark instead of terminal wealth, we consider an asset allocation problem to maximize time-consistently a mean-risk reward function with a general risk measure which is i) law-invariant, ii) cash- or shift-invariant, and iii) positively homogeneous, and possibly plugged into a general function. Examples include (relative) Value at Risk, coherent risk measures, variance, and generalized deviation risk measures. We model the market via a generalized version of the multi-dimensional Black-Scholes model using $\alpha$-stable L\'evy processes and give supplementary results for the classical Black-Scholes model. The optimal solution to this problem is a Nash subgame equilibrium given by the solution of an extended Hamilton-Jacobi-Bellman equation. Moreover, we show that the optimal solution is deterministic under appropriate assumptions.
Date: 2023-05, Revised 2024-10
New Economics Papers: this item is included in nep-gth and nep-rmg
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2305.09471
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