Risk Management of Pension Fund: A Model for Salary Evolution

In this paper, we propose a semi-Markov chain to model the salary levels of participants in<br />a pension scheme. The aim of the models is to understand the evolution in time of the salary of active<br />workers in order to implement it in the construction of the actuarial technical bal...

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Main Authors: Guglielmo D&#039;Amico, Ada Lika, Filippo Petroni
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:International Journal of Financial Studies
Subjects:
Online Access:https://www.mdpi.com/2227-7072/7/3/44
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spelling doaj-9e479ba9c0674e369dd60cd0f291f0382020-11-24T21:34:18ZengMDPI AGInternational Journal of Financial Studies2227-70722019-08-01734410.3390/ijfs7030044ijfs7030044Risk Management of Pension Fund: A Model for Salary EvolutionGuglielmo D&#039;Amico0Ada Lika1Filippo Petroni2Department of Pharmacy, University of G. D’Annunzio Chieti, 66100 Chieti, ItalyDepartment of Business, University of Cagliari, 09123, Cagliari, ItalyDepartment of Management, Marche Polytechnic University, 60121 Ancona, ItalyIn this paper, we propose a semi-Markov chain to model the salary levels of participants in<br />a pension scheme. The aim of the models is to understand the evolution in time of the salary of active<br />workers in order to implement it in the construction of the actuarial technical balance sheet. It is<br />worth mentioning that the level of the contributions in a pension scheme is directly proportional to<br />the incomes of the active workers; in almost all cases, it is a percentage of the worker&#8217;s incomes. As a<br />consequence, an adequate modeling of the salary evolution is essential for the determination of the<br />contributions paid to the fund and thus for the determination of the fund&#8217;s sustainability, especially<br />currently, when all jobs and salaries are subject to changes due to digitalization, ICT, innovation, etc.<br />The model is applied to a large dataset of a real compulsory Italian pension scheme of the first pillar.<br />The semi-Markovian hypothesis is tested, and the advantages with respect to Markov chain models<br />are assessed.https://www.mdpi.com/2227-7072/7/3/44Markov chainsalary linesreward process
collection DOAJ
language English
format Article
sources DOAJ
author Guglielmo D&#039;Amico
Ada Lika
Filippo Petroni
spellingShingle Guglielmo D&#039;Amico
Ada Lika
Filippo Petroni
Risk Management of Pension Fund: A Model for Salary Evolution
International Journal of Financial Studies
Markov chain
salary lines
reward process
author_facet Guglielmo D&#039;Amico
Ada Lika
Filippo Petroni
author_sort Guglielmo D&#039;Amico
title Risk Management of Pension Fund: A Model for Salary Evolution
title_short Risk Management of Pension Fund: A Model for Salary Evolution
title_full Risk Management of Pension Fund: A Model for Salary Evolution
title_fullStr Risk Management of Pension Fund: A Model for Salary Evolution
title_full_unstemmed Risk Management of Pension Fund: A Model for Salary Evolution
title_sort risk management of pension fund: a model for salary evolution
publisher MDPI AG
series International Journal of Financial Studies
issn 2227-7072
publishDate 2019-08-01
description In this paper, we propose a semi-Markov chain to model the salary levels of participants in<br />a pension scheme. The aim of the models is to understand the evolution in time of the salary of active<br />workers in order to implement it in the construction of the actuarial technical balance sheet. It is<br />worth mentioning that the level of the contributions in a pension scheme is directly proportional to<br />the incomes of the active workers; in almost all cases, it is a percentage of the worker&#8217;s incomes. As a<br />consequence, an adequate modeling of the salary evolution is essential for the determination of the<br />contributions paid to the fund and thus for the determination of the fund&#8217;s sustainability, especially<br />currently, when all jobs and salaries are subject to changes due to digitalization, ICT, innovation, etc.<br />The model is applied to a large dataset of a real compulsory Italian pension scheme of the first pillar.<br />The semi-Markovian hypothesis is tested, and the advantages with respect to Markov chain models<br />are assessed.
topic Markov chain
salary lines
reward process
url https://www.mdpi.com/2227-7072/7/3/44
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AT filippopetroni riskmanagementofpensionfundamodelforsalaryevolution
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