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Cash Management Behavior and Failure Prediction

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  • Erkki K. Laitinen
  • Teija Laitinen

Abstract

The purpose of this study is to evaluate the information contained in static and dynamic inventory cash management models to predict failure in a sample of 41 small and middle‐sized Finnish bankrupt firms and their nonbankrupt counterparts. The results indicate that the estimates of the (scale) elasticity of cash balance with respect to the volume of transactions (approximated by net sales) is significantly lower for the failed firms. Furthermore, only the scale elasticity appears to be a statistically significant discriminating variable, and only in the first year before bankruptcy. This estimate remarkably increased the Lachenbruch validated classification accuracy based on traditional financial variables.

Suggested Citation

  • Erkki K. Laitinen & Teija Laitinen, 1998. "Cash Management Behavior and Failure Prediction," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 25(7‐8), pages 893-919, September.
    • Handle: RePEc:bla:jbfnac:v:25:y:1998:i:7-8:p:893-919
    DOI: 10.1111/1468-5957.00218
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    Cited by:

    1. Fedorova, Elena & Ledyaeva, Svetlana & Drogovoz, Pavel & Nevredinov, Alexandr, 2022. "Economic policy uncertainty and bankruptcy filings," International Review of Financial Analysis, Elsevier, vol. 82(C).
    2. Şaban Çelik, 2013. "Micro Credit Risk Metrics: A Comprehensive Review," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 20(4), pages 233-272, October.
    3. Błażej Prusak, 2018. "Review of Research into Enterprise Bankruptcy Prediction in Selected Central and Eastern European Countries," IJFS, MDPI, vol. 6(3), pages 1-28, June.
    4. Israel Patiño-Galvan & José Alberto Hernández Aguilar, 2023. "Factores de fracaso en las MiPyME de México evidenciados por el COVID-2019," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 18(2), pages 1-29, Abril - J.
    5. Fernando Zambrano Farias & María del Carmen Valls Martínez & Pedro Antonio Martín-Cervantes, 2021. "Explanatory Factors of Business Failure: Literature Review and Global Trends," Sustainability, MDPI, vol. 13(18), pages 1-26, September.
    6. Liang Han & Stuart Fraser & David J. Storey, 2009. "The Role of Collateral in Entrepreneurial Finance," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(3‐4), pages 424-455, April.
    7. Şaban Çelik & Bora Aktan & Bruce Burton, 2022. "Firm dynamics and bankruptcy processes: A new theoretical model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 567-591, April.
    8. Salwa Kessioui & Michalis Doumpos & Constantin Zopounidis, 2023. "A Bibliometric Overview of the State-of-the-Art in Bankruptcy Prediction Methods and Applications," World Scientific Book Chapters, in: Emilios Galariotis & Alexandros Garefalakis & Christos Lemonakis & Marios Menexiadis & Constantin Zo (ed.), Governance and Financial Performance Current Trends and Perspectives, chapter 6, pages 123-153, World Scientific Publishing Co. Pte. Ltd..
    9. Fayçal Mraihi, 2016. "Distressed Company Prediction Using Logistic Regression: Tunisian’s Case," Quarterly Journal of Business Studies, Research Academy of Social Sciences, vol. 2(1), pages 34-54.
    10. Chan-Chuan Ting, 2023. "The Association Between Changes in Key Audit Matters and Earnings Management Behavior in Companies," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 13(6), pages 1-3.
    11. Philippe Jardin & David Veganzones & Eric Séverin, 2019. "Forecasting Corporate Bankruptcy Using Accrual-Based Models," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 7-43, June.
    12. Fayçal Mraihi & Inane Kanzari & Mohamed Tahar Rajhi, 2015. "Development of a Prediction Model of Failure in Tunisian Companies: Comparison between Logistic Regression and Support Vector Machines," International Journal of Empirical Finance, Research Academy of Social Sciences, vol. 4(3), pages 184-205.
    13. Giuseppe Iuliano & Gaetano Matonti, 2015. "Do big 4 audit companies detect earnings management and report it in the audit opinion? Empirical evidence from italian non-listed firms," ESPERIENZE D'IMPRESA, FrancoAngeli Editore, vol. 2015(2), pages 5-43.

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