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Risk management for pension funds: a continuous time approach with applications in R

This book presents a consistent and complete framework for studying the risk management of a pension fund. It gives the reader the opportunity to understand, replicate and widen the analysis. To this aim, the book provides all the tools for computing the optimal asset allocation in a dynamic framewo...

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Detalles Bibliográficos
Autor principal: Menoncin, Francesco
Lenguaje:eng
Publicado: Springer 2021
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-030-55528-3
http://cds.cern.ch/record/2752800
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author Menoncin, Francesco
author_facet Menoncin, Francesco
author_sort Menoncin, Francesco
collection CERN
description This book presents a consistent and complete framework for studying the risk management of a pension fund. It gives the reader the opportunity to understand, replicate and widen the analysis. To this aim, the book provides all the tools for computing the optimal asset allocation in a dynamic framework where the financial horizon is stochastic (longevity risk) and the investor's wealth is not self-financed. This tutorial enables the reader to replicate all the results presented. The R codes are provided alongside the presentation of the theoretical framework. The book explains and discusses the problem of hedging longevity risk even in an incomplete market, though strong theoretical results about an incomplete framework are still lacking and the problem is still being discussed in most recent literature.
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spelling cern-27528002021-04-21T16:43:34Zdoi:10.1007/978-3-030-55528-3http://cds.cern.ch/record/2752800engMenoncin, FrancescoRisk management for pension funds: a continuous time approach with applications in RMathematical Physics and MathematicsThis book presents a consistent and complete framework for studying the risk management of a pension fund. It gives the reader the opportunity to understand, replicate and widen the analysis. To this aim, the book provides all the tools for computing the optimal asset allocation in a dynamic framework where the financial horizon is stochastic (longevity risk) and the investor's wealth is not self-financed. This tutorial enables the reader to replicate all the results presented. The R codes are provided alongside the presentation of the theoretical framework. The book explains and discusses the problem of hedging longevity risk even in an incomplete market, though strong theoretical results about an incomplete framework are still lacking and the problem is still being discussed in most recent literature.Springeroai:cds.cern.ch:27528002021
spellingShingle Mathematical Physics and Mathematics
Menoncin, Francesco
Risk management for pension funds: a continuous time approach with applications in R
title Risk management for pension funds: a continuous time approach with applications in R
title_full Risk management for pension funds: a continuous time approach with applications in R
title_fullStr Risk management for pension funds: a continuous time approach with applications in R
title_full_unstemmed Risk management for pension funds: a continuous time approach with applications in R
title_short Risk management for pension funds: a continuous time approach with applications in R
title_sort risk management for pension funds: a continuous time approach with applications in r
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-030-55528-3
http://cds.cern.ch/record/2752800
work_keys_str_mv AT menoncinfrancesco riskmanagementforpensionfundsacontinuoustimeapproachwithapplicationsinr