In this paper we propose and study a continuous time stochastic model of optimal al- location for a defined contribution pension fund in the accumulation phase. The level of wealth is constrained to stay above a ‘solvency level’. The fund manager can invest in a riskless asset and in a risky asset, but borrowing and short selling are prohibited. The model is naturally formu- lated as an optimal stochastic control problem with state constraints and is treated by the dynamic programming approach. We show that the value function of the problem is a continuous viscosity solution of the associated Hamilton-Jacobi-Bellman equation. In the special case when the bound- ary is absorbing we show that it is the unique viscosity solution of the Hamilton-Jacobi-Bellman equation

A Pension Fund Model in the Accumulation Phase: a Stochastic Control Approach / Federico, Salvatore. - STAMPA. - (2008), pp. 61-83. (Intervento presentato al convegno AMAMEF Conference tenutosi a Bedlewo, Polonia nel 2007).

A Pension Fund Model in the Accumulation Phase: a Stochastic Control Approach

FEDERICO, SALVATORE
2008

Abstract

In this paper we propose and study a continuous time stochastic model of optimal al- location for a defined contribution pension fund in the accumulation phase. The level of wealth is constrained to stay above a ‘solvency level’. The fund manager can invest in a riskless asset and in a risky asset, but borrowing and short selling are prohibited. The model is naturally formu- lated as an optimal stochastic control problem with state constraints and is treated by the dynamic programming approach. We show that the value function of the problem is a continuous viscosity solution of the associated Hamilton-Jacobi-Bellman equation. In the special case when the bound- ary is absorbing we show that it is the unique viscosity solution of the Hamilton-Jacobi-Bellman equation
2008
Advances in Mathematics of Finance
AMAMEF Conference
Bedlewo, Polonia
2007
Federico, Salvatore
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1002267
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