Multi-period stochastic programming model for state-dependent asset allocation with CVaR

Shinya Hirano, Norio Hibiki

Research output: Contribution to journalArticle

Abstract

We need to solve a multi-period optimization problem to decide dynamic investment policies under various practical constraints. Hibiki (2001,2003,2006) develop a hybrid model where conditional ecisions can be made in a simulation approach, and investment proportions are expressed by a step function of the amount of wealth. In this paper, we introduce an idea of a state-dependent function into the hybrid model as well as Takaya and Hibiki (2012). At first, we define the state-dependent function form for a multiple asset allocation problem with CVaR (Conditional Value at Risk) using the hybrid model, and we clarify that the function form is V-shaped and kinked at the VaR point. We propose a piecewise linear model with the V-shaped function to solve the multi-period and state-dependent asset allocation problem. We solve a three-period problem for five assets, and compare the piecewise linear model with the hybrid model. We conduct the sensitivity analysis for different risk averse coefficients and autocorrelations to examine the characteristics of the model.

Original languageEnglish
Pages (from-to)307-329
Number of pages23
JournalJournal of the Operations Research Society of Japan
Volume58
Issue number4
Publication statusPublished - 2015

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Stochastic programming
Conditional value at risk
Hybrid model
Asset allocation
Allocation problem
Risk-averse
Sensitivity analysis
Simulation
Wealth
Optimization problem
Assets
Autocorrelation
Investment policy
Proportion
Coefficients

Keywords

  • Finance
  • Multi-period asset allocation
  • Simulation
  • Stochastic optimization

ASJC Scopus subject areas

  • Management Science and Operations Research
  • Decision Sciences(all)

Cite this

Multi-period stochastic programming model for state-dependent asset allocation with CVaR. / Hirano, Shinya; Hibiki, Norio.

In: Journal of the Operations Research Society of Japan, Vol. 58, No. 4, 2015, p. 307-329.

Research output: Contribution to journalArticle

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