Optimal hedging strategies for multi-period guarantees in the presence of transaction costs: A stochastic programming approach
AbstractMulti-period guarantees are often embedded in life insurance contracts. In this paper we consider the problem of hedging these multi-period guarantees in the presence of transaction costs. We derive the hedging strategies for the cheapest hedge portfolio for a multi-period guarantee that with certainty makes the insurance company able to meet the obligations from the insurance policies it has issued. We find that by imposing transaction costs, the insurance company reduces the rebalancing of the hedge portfolio. The cost of establishing the hedge portfolio also increases as the transaction cost increases. For the multi-period guarantee there is a rather large rebalancing of the hedge portfolio as we go from one period to the next. By introducing transaction costs we find the size of this rebalancing to be reduced. Transaction costs may therefore be one possible explanation for why we do not see the insurance companies performing a large rebalancing of their investment portfolio at the end of each year.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 220.
Date of creation: Oct 2004
Date of revision: Apr 2006
Multi-period guarantee; Optimal hedging strategies; Transaction costs; Stochastic programming;
Other versions of this item:
- Fleten, Stein-Erik & Lindset, Snorre, 2008. "Optimal hedging strategies for multi-period guarantees in the presence of transaction costs: A stochastic programming approach," European Journal of Operational Research, Elsevier, Elsevier, vol. 185(3), pages 1680-1689, March.
- G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
- G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
This paper has been announced in the following NEP Reports:
- NEP-ALL-2006-10-14 (All new papers)
- NEP-FIN-2006-10-14 (Finance)
- NEP-FMK-2006-10-14 (Financial Markets)
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