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Periodic portfolio revision with transaction costs

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  • Krastyu Georgiev
  • Young Kim
  • Stoyan Stoyanov

Abstract

In this paper we consider the impact of transaction costs on the periodic portfolio revision. We offer a statistical model for simulation of daily returns which can explain the empirical behavior of equity returns. The model is based on ARMA–GARCH processes, principal component analysis, classical tempered stable distribution, and skewed $$t$$ t copula. The main contribution of this paper is the application of a new approach for modelling transaction costs using daily returns by estimating an optimal portfolio with an arbitrary length for the holding period. Moreover, we compare the portfolio selection problem solved with and without transaction costs by applying different risk and performance measures on simulated returns, taking into account their Sharpe ratio and stable tail-adjusted return ratio. The experimental analysis suggests that the incorporation of transaction costs into an optimal portfolio framework leads to remarkable reduction of the transaction costs and stabilization of the optimal portfolio strategy. However, ignoring transaction costs does not always result in a less efficient portfolio. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Krastyu Georgiev & Young Kim & Stoyan Stoyanov, 2015. "Periodic portfolio revision with transaction costs," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 81(3), pages 337-359, June.
    • Handle: RePEc:spr:mathme:v:81:y:2015:i:3:p:337-359
    DOI: 10.1007/s00186-015-0500-6
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    4. Kouaissah, Noureddine, 2021. "Using multivariate stochastic dominance to enhance portfolio selection and warn of financial crises," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 480-493.
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    7. Takuji Matsumoto & Yuji Yamada, 2023. "Improving the Efficiency of Hedge Trading Using Higher-Order Standardized Weather Derivatives for Wind Power," Energies, MDPI, vol. 16(7), pages 1-22, March.

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