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

Shinya Hirano, Norio Hibiki

研究成果: Article査読

1 被引用数 (Scopus)


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.

ジャーナルJournal of the Operations Research Society of Japan
出版ステータスPublished - 2015

ASJC Scopus subject areas

  • 決定科学一般
  • 経営科学およびオペレーションズ リサーチ


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