Macroeconomic Volatility in Emerging Countries: A Mean-Variance Asset-Liability Management Model

2015 ◽  
Author(s):  
David Animante
Keyword(s):  
Emerging Countries ◽  
Management Model ◽  
Asset Liability Management ◽  
Macroeconomic Volatility ◽  
Liability Management ◽  
Mean Variance

Mean-variance equilibrium asset-liability management strategy with cointegrated assets

2021 ◽  
Vol 62 ◽  
pp. 209-234
Author(s):  
Mei Choi Chiu
Keyword(s):  
Financial Market ◽  
Time Consistency ◽  
Time Inconsistency ◽  
Asset Liability Management ◽  
Risky Assets ◽  
Liability Management ◽  
Equilibrium Control ◽  
Management Problems ◽  
Hamilton Jacobi Bellman ◽  
Mean Variance

This paper investigates asset-liability management problems in a continuous-time economy. When the financial market consists of cointegrated risky assets, institutional investors attempt to make profit from the cointegration feature on the one hand, while on the other hand they need to maintain a stable surplus level, that is, the company’s wealth less its liability. Challenges occur when the liability is random and cannot be fully financed or hedged through the financial market. For mean–variance investors, an additional concern is the rational time-consistency issue, which ensures that a decision made in the future will not be restricted by the current surplus level. By putting all these factors together, this paper derives a closed-form feedback equilibrium control for time-consistent mean–variance asset-liability management problems with cointegrated risky assets. The solution is built upon the Hamilton–Jacobi–Bellman framework addressing time inconsistency. doi: 10.1017/S1446181120000164

scholarly journals A Random Parameter Model for Continuous-Time Mean-Variance Asset-Liability Management

2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Hui-qiang Ma ◽  
Meng Wu ◽  
Nan-jing Huang
Keyword(s):  
Continuous Time ◽  
Efficient Frontier ◽  
Random Parameter ◽  
Management Problem ◽  
Random Parameters ◽  
Asset Liability Management ◽  
Linear Quadratic ◽  
Liability Management ◽  
The Mean ◽  
Mean Variance

We consider a continuous-time mean-variance asset-liability management problem in a market with random market parameters; that is, interest rate, appreciation rates, and volatility rates are considered to be stochastic processes. By using the theories of stochastic linear-quadratic (LQ) optimal control and backward stochastic differential equations (BSDEs), we tackle this problem and derive optimal investment strategies as well as the mean-variance efficient frontier analytically in terms of the solution of BSDEs. We find that the efficient frontier is still a parabola in a market with random parameters. Comparing with the existing results, we also find that the liability does not affect the feasibility of the mean-variance portfolio selection problem. However, in an incomplete market with random parameters, the liability can not be fully hedged.

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

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
Keyword(s):  
Stochastic Programming ◽  
Pension Fund ◽  
Management Model ◽  
Multistage Stochastic Programming ◽  
Asset Liability Management ◽  
Liability Management ◽  
Fund Industry

scholarly journals Time Consistent Strategies for Mean-Variance Asset-Liability Management Problems

2013 ◽  
Vol 2013 ◽  
pp. 1-16 ◽  
Author(s):  
Hui-qiang Ma ◽  
Meng Wu ◽  
Nan-jing Huang
Keyword(s):  
Optimal Time ◽  
Investment Strategies ◽  
Asset Liability Management ◽  
Programming Technique ◽  
Liability Management ◽  
Management Problems ◽  
Time Diversification ◽  
Riskless Asset ◽  
Mean Variance ◽  
Variance Criterion

This paper studies the optimal time consistent investment strategies in multiperiod asset-liability management problems under mean-variance criterion. By applying time consistent model of Chen et al. (2013) and employing dynamic programming technique, we derive two-time consistent policies for asset-liability management problems in a market with and without a riskless asset, respectively. We show that the presence of liability does affect the optimal strategy. More specifically, liability leads a parallel shift of optimal time-consistent investment policy. Moreover, for an arbitrarily risk averse investor (under the variance criterion) with liability, the time-diversification effects could be ignored in a market with a riskless asset; however, it should be considered in a market without any riskless asset.

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