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Investment Strategy on the Zagreb Stock Exchange Based on Dynamic DEA

Author

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  • Tihana Skrinjaric

    (University of Zagreb, Faculty of Economics and Business, Croatia)

Abstract

Nowadays, there is a growing interest in the application of quantitative methods in portfolio management, as the results of their application can be used as guidelines for managing a successful investment portfolio, i.e., a portfolio that outperforms the market. This paper deals with the Data Envelopment Analysis (DEA) approach and a Dynamic Slacks-Based Measure as a method of forming a portfolio which would predominantly outperform the market. In order to test the strategy, data on stocks listed on the Zagreb Stock Exchange were gathered for the period April 2009 – June 2012. Using the quarterly returns, standard deviations and coefficients of skewness as links, a dynamic slacks-based measure approach was applied to evaluate the relative efficiency of stocks in each quarter. The findings indicate that a portfolio based on the results of the optimization beats the market in terms of both returns and risk. This is the first implementation of the dynamic DEA model in stock trading. The results suggest that it is superior to basic DEA models.

Suggested Citation

  • Tihana Skrinjaric, 2014. "Investment Strategy on the Zagreb Stock Exchange Based on Dynamic DEA," Croatian Economic Survey, The Institute of Economics, Zagreb, vol. 16(1), pages 129-160, April.
    • Handle: RePEc:iez:survey:ces-v16_04-2014_skrinjaric
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    File URL: http://hrcak.srce.hr/file/181699
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    References listed on IDEAS

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    1. Yu Hsing, 2011. "Macroeconomic Variables and the Stock Market: the Case of Lithuania," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 3(1), pages 031-037, June.
    2. Yu Hsing & Wen-jen Hsieh, 2011. "Impacts of macroeconomic variables on the stock market index in Poland: new evidence," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 13(2), pages 334-343, May.
    3. Yu Hsing, 2011. "Impacts of Macroeconomic Variables on the U.S. Stock Market Index and Policy Implications," Economics Bulletin, AccessEcon, vol. 31(1), pages 883-892.
    4. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    5. Martina Bris & Ivan Kristek & Ivo Mijoc, 2008. "Selection of Optimal Portfolio by Use of Risk Diversification Method," Interdisciplinary Management Research, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 4, pages 329-343, May.
    6. Yu HSING, 2011. "Effects of Macroeconomic Variables on the Stock Market: The Case of the Czech Republic," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(7(560)), pages 54-64, July.
    7. Rubinstein, Mark E., 1973. "The Fundamental Theorem of Parameter-Preference Security Valuation," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 8(1), pages 61-69, January.
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    Citations

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    Cited by:

    1. Wei-Kang Wang & Irene Wei Kiong Ting & Kuo-Cheng Kuo & Qian Long Kweh & Yan-Heng Lin, 2018. "Corporate diversification and efficiency: evidence from Taiwanese top 100 manufacturing firms," Operational Research, Springer, vol. 18(1), pages 187-203, April.
    2. Zhou, Zhongbao & Gao, Meng & Xiao, Helu & Wang, Rui & Liu, Wenbin, 2021. "Big data and portfolio optimization: A novel approach integrating DEA with multiple data sources," Omega, Elsevier, vol. 104(C).
    3. Ivanovski, Zoran & Stojanovski, Toni & Narasanov, Zoran, 2015. "Volatility And Kurtosis Of Daily Stock Returns At Mse," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 6(2), pages 209-221.

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    More about this item

    Keywords

    Dynamic Slacks-Based Measure (DSBM); Data Envelopment Analysis (DEA); portfolio; stock market; Zagreb Stock Exchange;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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