Risk Management and the Pension Fund industry

Author(s):  
IMF. Monetary and Capital Markets Department
2018 ◽  
Vol 31 (4) ◽  
pp. 477-519
Author(s):  
Daeil Kang ◽  
◽  
Jong-Ho Park ◽  
Kyong Shik Eom

2019 ◽  
Vol 7 (3) ◽  
pp. 44 ◽  
Author(s):  
Guglielmo D'Amico ◽  
Ada Lika ◽  
Filippo Petroni

In this paper, we propose a semi-Markov chain to model the salary levels of participants ina pension scheme. The aim of the models is to understand the evolution in time of the salary of activeworkers in order to implement it in the construction of the actuarial technical balance sheet. It isworth mentioning that the level of the contributions in a pension scheme is directly proportional tothe incomes of the active workers; in almost all cases, it is a percentage of the worker’s incomes. As aconsequence, an adequate modeling of the salary evolution is essential for the determination of thecontributions paid to the fund and thus for the determination of the fund’s sustainability, especiallycurrently, when all jobs and salaries are subject to changes due to digitalization, ICT, innovation, etc.The model is applied to a large dataset of a real compulsory Italian pension scheme of the first pillar.The semi-Markovian hypothesis is tested, and the advantages with respect to Markov chain modelsare assessed.


2016 ◽  
Vol 18 (2) ◽  
pp. 349-368 ◽  
Author(s):  
Alan Delgado de Oliveira ◽  
Tiago Pascoal Filomena ◽  
Marcelo Scherer Perlin ◽  
Miguel Lejeune ◽  
Guilherme Ribeiro de Macedo

2011 ◽  
Author(s):  
Pablo Fernandez ◽  
Javier Aguirreamalloa ◽  
Luis Corres Avendaño
Keyword(s):  

2002 ◽  
Vol 3 (2) ◽  
pp. 173-194 ◽  
Author(s):  
D Blake ◽  
B N Lehmann ◽  
A Timmermann
Keyword(s):  

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