Since the seminal contribution of Yaari (1965), who showed that individuals with no bequest motive should convert all their retirement wealth into annuities, a number of papers have analysed the annuitization decision under the so-called all or nothing institutional arrangement, where immediate lifetime annuities are purchased just at a one point in time. In this paper, we investigate the effect of linear bequest motives on the annuitization decision for a retired individual who maximizes the market value of future cash flows. Finally, we present numerical examples analyzing optimal annuitization under strong or weak bequest motives.

The Market Value of Optimal Annuitization and Bequest Motives / Buttarazzi, Matteo; Stabile, Gabriele. - (2024), pp. 67-73. (Intervento presentato al convegno Mathematical and Statistical Methods for Actuarial Sciences and Finance. MAF 2024 tenutosi a Le Havre, Francia) [10.1007/978-3-031-64273-9_12].

The Market Value of Optimal Annuitization and Bequest Motives

Buttarazzi, Matteo;Stabile, Gabriele
2024

Abstract

Since the seminal contribution of Yaari (1965), who showed that individuals with no bequest motive should convert all their retirement wealth into annuities, a number of papers have analysed the annuitization decision under the so-called all or nothing institutional arrangement, where immediate lifetime annuities are purchased just at a one point in time. In this paper, we investigate the effect of linear bequest motives on the annuitization decision for a retired individual who maximizes the market value of future cash flows. Finally, we present numerical examples analyzing optimal annuitization under strong or weak bequest motives.
2024
Mathematical and Statistical Methods for Actuarial Sciences and Finance. MAF 2024
optimal stopping; annuities; bequest motives
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
The Market Value of Optimal Annuitization and Bequest Motives / Buttarazzi, Matteo; Stabile, Gabriele. - (2024), pp. 67-73. (Intervento presentato al convegno Mathematical and Statistical Methods for Actuarial Sciences and Finance. MAF 2024 tenutosi a Le Havre, Francia) [10.1007/978-3-031-64273-9_12].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1720105
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