Longevity risk may be defined as the risk of outliving one's accumulated wealth. Although many theoretical studies have suggested that individuals will increase their precautionary saving in order to mitigate longevity risk, only a few of such studies have used empirical data to test people's decision-making behaviour in response to longevity risk. The main purpose of this paper is to investigate how households adjust their consumption and investment plans in response to longevity risk. We find that households reduce their consumption over their entire lifespan and increase the proportion of their risky assets before retirement when they face longevity risk. Furthermore, we also discover that households with females, more children, higher health expenditure and greater risk aversion change their risky assets to a lesser extent in their whole life period in the face of longevity risk, compared with other households.
This paper proposes a discrete dynamic programming model to maintain pension contribution in a stable level. By assuming an intertemporal stable contribution rate, we derive an algorithm to calculate the optimal contribution that requires less exogenous information and produces more stable results. Our simulation results further confirm that our model helps pension fund managers to make more stable contributions and further reduce the contribution risk for the defined benefit pension fund than the traditional algorithms do.
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