Acta Univ. Agric. Silvic. Mendelianae Brun. 2013, 61(4), 1177-1182 | DOI: 10.11118/actaun201361041177

New approaches for the financial distress classification in agribusiness

Jan Vavřina1, David Hampel2, Jitka Janová2
1 Department of Business Economics, Mendel University in Brno, Zemědělská 1, 613 00 Brno, Czech Republic
2 Department of Statistics and Operation Analysis, Mendel University in Brno, Zemědělská 1, 613 00 Brno, Czech Republic

After the recent financial crisis the need for unchallenged tools evaluating the financial health of enterprises has even arisen. Apart from well-known techniques such as Z-score and logit models, a new approaches were suggested, namely the data envelopment analysis (DEA) reformulation for bankruptcy prediction and production function-based economic performance evaluation (PFEP). Being recently suggested, these techniques have not yet been validated for common use in financial sector, although as for DEA approach some introductory studies are available for manufacturing and IT industry. In this contribution we focus on the thorough validation calculations that evaluate these techniques for the specific agribusiness industry. To keep the data as homogeneous as possible we limit the choice of agribusiness companies onto the area of the countries of Visegrad Group. The extensive data set covering several hundreds of enterprises were collected employing the database Amadeus of Bureau van Dijk. We present the validation results for each of the four mentioned methods, outline the strengths and weaknesses of each approach and discuss the valid suggestions for the effective detection of financial problems in the specific branch of agribusiness.

Keywords: agribusiness, DEA, financial distress, logistic regression, production functions, Z-score
Grants and funding:

The research presented in the paper was partly supported by the grant of the Czech Science Foundation No. 13-25897S.

Received: April 11, 2013; Published: July 13, 2013  Show citation

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Vavřina, J., Hampel, D., & Janová, J. (2013). New approaches for the financial distress classification in agribusiness. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 61(4), 1177-1182. doi: 10.11118/actaun201361041177
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    References

    1. ALTMAN, E. I., 1968: Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. The Journal of Finance, 23, 4: 589-609. ISSN 1540-6261. DOI: 10.1111/j.1540-6261.1968.tb00843.x Go to original source...
    2. ALTMAN, E. I., 2000: Predicting Financial Distress of Companies: Revisiting the Z-Score and ZETA Models, New York University Working Paper, [online]. [2012-2-27] available from http://pages.stern.nyu.edu/~ealtman/PredFnclDistr.pdf.
    3. Commission staff working paper: Impact assessment, 2011: In: EUROPEAN COMMISSION. Legal Proposals for the CAP after 2013 [online]. [2012-12-12] available from http://ec.europa.eu/agriculture/analysis/perspec/cap-2020/impact-assessment/full-text_en.pdf.
    4. BATES, D. M., WATTS, D. G., 2007: Nonlinear Regression Analysis and its Applications. New Jersey: Hoboken, 365 pp. ISBN 978-0470139004.
    5. BERNSTEIN, L., 1998: Financial statement analysis, theory, application and interpretation. Boston: Irwin / McGraw-Hill, 662 pp. ISBN 978-0070945043.
    6. CHARNES, A., COOPER, W. W., GOLANY, B., SEIFORD, L., 1985: Foundations of data envelopement analysis for Pareto Koopmans efficient empirical production functions. Journal of Econometrics, 30, 2: 91-107. ISSN 0304-4076. DOI: 10.1016/0304-4076(85)90133-2 Go to original source...
    7. JANOVÁ, J., VAVŘINA, J., HAMPEL, D., 2012: DEA as a tool for bankruptcy assessment: the agribusiness case study. In: Proceedings of the 30th International Conference Mathematical Methods in Economics 2012. Karviná: Silesian University in Opava. 379-383. ISBN 978-80-7248-779-0.
    8. HAMPEL, D., VAVŘINA, J., JANOVÁ, J., 2012: Predicting bankruptcy of companies based on the production function parameters. In: Proceedings of the 30th International Conference Mathematical Methods in Economics 2012. Karviná: Silesian University in Opava. 243-248. ISBN 978-80-7248-779-0.
    9. KEASEY, K., WATSON, R., 1991: Financial distress prediction models: A review of their usefulness. British Journal of Management, 2, 2: 89-101. ISSN 1467-8551. DOI: 10.1111/j.1467-8551.1991.tb00019.x Go to original source...
    10. LINDSAY, D., CAMPBELL, A., 1996: A chaos approach to bankruptcy prediction. Journal of Applied Business Research, 12, 4: 1-9. ISSN 0892-7626. Go to original source...
    11. PARKIN, M., 1990: Economics. Addison: Wesley Publishing Company, Reading, 1053 pp. ISBN 978-03-2160-497-2.
    12. PLATT, D., PLATT, B., YANG, Z., 1999: Probabilistic neural networks in bankruptcy prediction. Journal of Business Research, 44, 2: 67-74. ISSN 0892-7626. Go to original source...
    13. PREMACHANDRA, I. M., BHABRA, G. S., SUEYOSHI, T., 2009: DEA as a tool for bankruptcy assessment: A comparative study with logistic regression technique. European Journal of Operational Research, 193, 2: 412-424. ISSN 0377-2217. DOI: 10.1016/j.ejor.2007.11.036 Go to original source...
    14. VAVŘINA, J., RŮŽIČKOVÁ, K., MARTINOVIČOVÁ, D., 2012: The CAP reform beyond 2013: the economic performance of agricultural enterprises within the Visegrad Group. Acta Univ. Agric. et Silvic. Mendel. Brun., 60, 7: 451-462. ISSN 1211-8516. DOI: 10.11118/actaun201260070451 Go to original source...

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