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| Autori principali: | , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2508.13350 |
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| _version_ | 1866910052171907072 |
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| author | Chinchilla, Raphael Rueter, Thomas D. McDade, Timothy R. Fisher, Peter R. Candes, Emmanuel Hastie, Trevor Boyd, Stephen |
| author_facet | Chinchilla, Raphael Rueter, Thomas D. McDade, Timothy R. Fisher, Peter R. Candes, Emmanuel Hastie, Trevor Boyd, Stephen |
| contents | This paper proposes a simulation-based framework for assessing and improving the performance of a pension fund management scheme. This framework is modular and allows the definition of customized performance metrics that are used to assess and iteratively improve asset and liability management policies. We illustrate our framework with a simple implementation that showcases the power of including adaptable features. We show that it is possible to dissipate longevity and volatility risks by permitting adaptability in asset allocation and payout levels. The numerical results show that by including a small amount of flexibility, there can be a substantial reduction in the cost to run the pension plan as well as a substantial decrease in the probability of defaulting. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_13350 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Adaptive Strategies for Pension Fund Management Chinchilla, Raphael Rueter, Thomas D. McDade, Timothy R. Fisher, Peter R. Candes, Emmanuel Hastie, Trevor Boyd, Stephen Optimization and Control Computational Finance This paper proposes a simulation-based framework for assessing and improving the performance of a pension fund management scheme. This framework is modular and allows the definition of customized performance metrics that are used to assess and iteratively improve asset and liability management policies. We illustrate our framework with a simple implementation that showcases the power of including adaptable features. We show that it is possible to dissipate longevity and volatility risks by permitting adaptability in asset allocation and payout levels. The numerical results show that by including a small amount of flexibility, there can be a substantial reduction in the cost to run the pension plan as well as a substantial decrease in the probability of defaulting. |
| title | Adaptive Strategies for Pension Fund Management |
| topic | Optimization and Control Computational Finance |
| url | https://arxiv.org/abs/2508.13350 |