Computational Economics

, 33:237 | Cite as

Models and Simulations for Portfolio Rebalancing

  • Gianfranco GuastarobaEmail author
  • Renata Mansini
  • M. Grazia Speranza


In 1950 Markowitz first formalized the portfolio optimization problem in terms of mean return and variance. Since then, the mean-variance model has played a crucial role in single-period portfolio optimization theory and practice. In this paper we study the optimal portfolio selection problem in a multi-period framework, by considering fixed and proportional transaction costs and evaluating how much they affect a re-investment strategy. Specifically, we modify the single-period portfolio optimization model, based on the Conditional Value at Risk (CVaR) as measure of risk, to introduce portfolio rebalancing. The aim is to provide investors and financial institutions with an effective tool to better exploit new information made available by the market. We then suggest a procedure to use the proposed optimization model in a multi-period framework. Extensive computational results based on different historical data sets from German Stock Exchange Market (XETRA) are presented.


Risk management Conditional value at risk Portfolio rebalancing Multi-period portfolio analysis Mixed integer linear programming 


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Copyright information

© Springer Science+Business Media, LLC. 2008

Authors and Affiliations

  • Gianfranco Guastaroba
    • 1
    Email author
  • Renata Mansini
    • 2
  • M. Grazia Speranza
    • 1
  1. 1.Department of Quantitative MethodsUniversity of BresciaBresciaItaly
  2. 2.Department of Electronics for AutomationUniversity of BresciaBresciaItaly

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