Stochastic programming framework for Lithuanian pension payout modelling

Authors

  • Audrius Kabašinskas Dept. of Mathematical Modeling Kaunas University of Technology Studentu 50-141, LT - 51368 Kaunas, Lithuania
  • Kristina Šutienė Dept. of Mathematical Modeling Kaunas University of Technology Studentu 50-141, LT - 51368 Kaunas, Lithuania
  • Eimutis Valakevičius Dept. of Mathematical Modeling Kaunas University of Technology Studentu 50-141, LT - 51368 Kaunas, Lithuania
  • Francesca Maggioni Department of Management, Economics and Quantitative Methods, University of Bergamo Via dei Caniana 2, 24127 Bergamo, Italy

Abstract

The paper provides a scientific approach to the problem of selecting a pension fund by taking into account some specific characteristics of the Lithuanian Republic (LR) pension accumulation system. The decision making model, which can be used to plan a long-term pension accrual of the Lithuanian Republic (LR) citizens, in an optimal way is presented. This model focuses on factors that influence the sustainability of the pension system selection under macroeconomic, social and demographic uncertainty. The model is formalized as a single stage stochastic optimization problem where the long-term optimal strategy can be obtained based on the possible scenarios generated for a particular participant. Stochastic programming methods allow including the pension fund rebalancing moment and direction of investment, and taking into account possible changes of personal income, changes of society and the global financial market. The collection of methods used to generate scenario trees was found useful to solve strategic planning problems.

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Published

2015-01-27

Issue

Volume 5 (2014), Number 2

Section

CRORR Journal Regular Issue

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