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Portfolio optimization under Solvency II
by
Zagst, Rudi
, Escobar, Marcos
, Wahl, Markus
, Kriebel, Paul
in
Capital requirements
/ EU directives
/ Expected utility
/ Insurance
/ Investment policy
/ Investment strategy
/ Operations research
/ Optimization
/ Portfolio management
/ Solvency
/ Studies
2019
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Portfolio optimization under Solvency II
by
Zagst, Rudi
, Escobar, Marcos
, Wahl, Markus
, Kriebel, Paul
in
Capital requirements
/ EU directives
/ Expected utility
/ Insurance
/ Investment policy
/ Investment strategy
/ Operations research
/ Optimization
/ Portfolio management
/ Solvency
/ Studies
2019
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Do you wish to request the book?
Portfolio optimization under Solvency II
by
Zagst, Rudi
, Escobar, Marcos
, Wahl, Markus
, Kriebel, Paul
in
Capital requirements
/ EU directives
/ Expected utility
/ Insurance
/ Investment policy
/ Investment strategy
/ Operations research
/ Optimization
/ Portfolio management
/ Solvency
/ Studies
2019
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Journal Article
Portfolio optimization under Solvency II
2019
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Overview
In the current low interest-rate and highly-regulated environment investing capital efficiently is one of the most important challenges insurance companies face. Certain quantitative parts of regulatory requirements (e.g. Solvency II capital requirements) result in constraints on the investment strategies. This paper mathematically describes the implications of Solvency II constraints on the investment strategies of insurance companies in an expected utility framework with a focus on the market risk module. For this constrained expected utility problem, we define a two-step approach that leads to closed-form approximations for the optimal investment strategies. This proposal circumvents the technical difficulties encountered when applying the convex duality approach or the theory of viscosity solutions. The investment strategies found using the two-step approach can be understood as the optimal investment strategies for constraint problems according to Solvency II. The impact of such constraints on the asset allocation and the performance of these strategies is assessed in a numerical case study.
Publisher
Springer Nature B.V
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