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Fundamental analysis of stocks by two-stage DEA

Author

Listed:
  • Cristina Abad

    (Universidad de Sevilla, Sevilla, Spain)

  • Sten A. Thore

    (The University of Texas at Austin, USA)

  • Joaquina Laffarga

    (Universidad de Sevilla, Sevilla, Spain)

Abstract

Fundamental analysis of stocks links financial data to firm value in two consecutive steps: a predictive information link tying current financial data to future earnings, and a valuation link tying future earnings to firm value. At each step, a large number of causal factors have to be factored into the evaluation. To effect these calculations, we propose a new two-stage multi-criteria procedure, drawing on the techniques of data envelopment analysis. At each stage, a piecewise linear efficiency frontier is fitted to the observed data. The procedure is illustrated by a numerical example, analyzing some 30 stocks in the Spanish manufacturing industry in the years 1991-1996. Copyright © 2004 John Wiley & Sons, Ltd.

Suggested Citation

  • Cristina Abad & Sten A. Thore & Joaquina Laffarga, 2004. "Fundamental analysis of stocks by two-stage DEA," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 25(5), pages 231-241.
    • Handle: RePEc:wly:mgtdec:v:25:y:2004:i:5:p:231-241
    DOI: 10.1002/mde.1145
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    References listed on IDEAS

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    Cited by:

    1. Panagiotis Mitropoulos & Ioannis Mitropoulos, 2020. "Performance evaluation of retail banking services: Is there a trade‐off between production and quality?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(7), pages 1237-1250, October.
    2. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    3. Héctor Darío Balseiro Barrios & Jorge Armando Luna Amador & Francisco Javier Maza Ávila, 2021. "Análisis de eficiencia financiera de las empresas cotizantes en el mercado accionario colombiano para el periodo 2012- 2017," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 13(1), pages 19-41, March.
    4. Yi, Ronghua & Chang, Yu-Wei & Xing, Wen & Chen, Jun, 2019. "Comparing relative valuation efficiency between two stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 72(C), pages 159-167.
    5. Yen-Hsien Lee & Ya-Ling Huang & Shiuh-Sheng Hsu & Chien-Han Hung, 2013. "Measuring the Efficiency and the Effect of Corporate Governance on the Biotechnology and Medical Equipment Industries in Taiwan," International Journal of Economics and Financial Issues, Econjournals, vol. 3(3), pages 662-672.
    6. Abdin, Syed Zain ul & Farooq, Omer & Sultana, Naheed & Farooq, Mariam, 2017. "The impact of heuristics on investment decision and performance: Exploring multiple mediation mechanisms," Research in International Business and Finance, Elsevier, vol. 42(C), pages 674-688.
    7. B. Senthil Arasu & Desti Kannaiah & Nancy Christina J. & Malik Shahzad Shabbir, 2021. "Selection of Variables in Data Envelopment Analysis for Evaluation of Stock Performance," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 46(3), pages 337-353, August.
    8. Jorge A. Romero & Martin Freedman & Neale G. O'Connor, 2018. "The impact of Environmental Protection Agency penalties on financial performance," Business Strategy and the Environment, Wiley Blackwell, vol. 27(8), pages 1733-1740, December.
    9. Avkiran, Necmi K. & Morita, Hiroshi, 2010. "Predicting Japanese bank stock performance with a composite relative efficiency metric: A new investment tool," Pacific-Basin Finance Journal, Elsevier, vol. 18(3), pages 254-271, June.
    10. Marko Pov{z}enel & Dejan Lavbiv{c}, 2019. "Discovering Language of the Stocks," Papers 1902.08684, arXiv.org.

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