Optimal asset allocation for aggregated defined benefit pension funds with stochastic interest rates
AbstractIn this paper we study the optimal management of an aggregated pension fund of defined benefit type, in the presence of a stochastic interest rate. We suppose that the sponsor can invest in a savings account, in a risky stock and in a bond with the aim of minimizing deviations of the unfunded actuarial liability from zero along a finite time horizon. We solve the problem by means of optimal stochastic control techniques and analyze the influence on the optimal solution of some of the parameters involved in the model.
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Bibliographic InfoArticle provided by Elsevier in its journal European Journal of Operational Research.
Volume (Year): 201 (2010)
Issue (Month): 1 (February)
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Web page: http://www.elsevier.com/locate/eor
Pension funds Stochastic control Optimal portfolio Stochastic interest rate;
Other versions of this item:
- Ricardo Josa-Fombedilla & Juan Pablo Rincon-Zapatero, 2008. "Optimal asset allocation for aggregated defined benefit pension funds with stochastic interest rates," Economics Working Papers we078148, Universidad Carlos III, Departamento de Economía.
- G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
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- Kerem SENEL & A. Bulent PAMUKCU, 2012. "A Comparative Study For Multi-Period Asset Allocation Of Defined Contribution Schemes: Evidence From Turkey," Istanbul Commerce University Journal of Social Sciences, Istanbul Commerce University, vol. 21(1), pages 289-304.
- Josa-Fombellida, Ricardo & Rincón-Zapatero, Juan Pablo, 2012. "Stochastic pension funding when the benefit and the risky asset follow jump diffusion processes," European Journal of Operational Research, Elsevier, vol. 220(2), pages 404-413.
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