no code implementations • 16 May 2023 • Felix Fießinger, Mitja Stadje
Focusing on gains 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.
no code implementations • 18 Apr 2021 • Frank Bosserhoff, An Chen, Nils Sorensen, Mitja Stadje
Demographic changes increase the necessity to base the pension system more and more on the second and the third pillar, namely the occupational and private pension plans; this paper deals with Target Date Funds (TDFs), which are a typical investment opportunity for occupational pension planners.
no code implementations • 28 May 2020 • Christian Dehm, Thai Nguyen, Mitja Stadje
We consider an expected utility maximization problem where the utility function is not necessarily concave and the time horizon is uncertain.
no code implementations • 8 May 2020 • Thai Nguyen, Mitja Stadje
We study the expected utility maximization problem of a large investor who is allowed to make transactions on tradable assets in an incomplete financial market with endogenous permanent market impacts.
no code implementations • 20 Oct 2019 • Frank Bosserhoff, Mitja Stadje
If the misspecified volatility and jump sensitivity dominate the true ones, we show that following the misspecified Delta strategy does super-replicate $h(S(T))$ in expectation among a wide collection of models.
no code implementations • 15 Aug 2019 • Frank Bosserhoff, Mitja Stadje
We prove that the equilibrium is necessarily a solution of the extended HJB system.
no code implementations • 23 May 2018 • Thai Nguyen, Mitja Stadje
This result is contrary to the situation where the insurer maximizes the utility of the total wealth of the company (without distinguishing between contributions of equity holders and policyholders), in which case a VaR constraint may induce the insurer to take excessive risks leading to higher losses than in the case of no regulation.