A multistage stochastic programming asset-liability management model : an application to the Brazilian pension fund industry

This paper proposes a multistage stochastic programming approach for the asset-liability management of Brazilian pension funds. We generate asset price scenarios with stochastic differential equations—Geometric Brownian Motion model for stocks and Cox–Ingersoll–Ross model for fixed income securities...

Full description

Bibliographic Details
Authors: Oliveira, Alan Delgado de, Filomena, Tiago Pascoal, Marcelo Scherer Perlin, Miguel Lejeune, Guilherme Ribeiro de Macedo
Format: article
Status:Published version
Publication Date:2017
Country:Brasil
Institution:Universidade Federal do Rio Grande do Sul (UFRGS)
Repository:Repositório Institucional da UFRGS
Language:English
OAI Identifier:oai:www.lume.ufrgs.br:10183/196892
Online Access:http://hdl.handle.net/10183/196892
Access Level:Open access
Keyword:Fundos de pensão : Brasil
Otimização estocástica
ALM
Brazilian pension funds
Stochastic optimization
Scenario trees
Description
Summary:This paper proposes a multistage stochastic programming approach for the asset-liability management of Brazilian pension funds. We generate asset price scenarios with stochastic differential equations—Geometric Brownian Motion model for stocks and Cox–Ingersoll–Ross model for fixed income securities. Intertemporal solvency regulatory rules for Brazilian pension funds are considered endogenously in the model and enforced with a combinatorial constraint. A VaR probabilistic constraint is incorporated to obtain a positive funding ratio at each time period with high probability. Our approach uses multiple trees to provide a representative characterization of the uncertainty and is not computationally prohibitive. We evaluate the insolvency probability under different initial funding ratios through extensive simulations. The study reveals that the likely decrease of interest rate premiums in the next years will force pension fund managers to significantly change their portfolio strategies. They will have to take more risk in order to deliver the cash flows required to cover the liabilities and satisfy the regulatory constraints.