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Analysing corporate insolvency in the Gulf Cooperation Council using logistic regression and multidimensional scaling

Author

Listed:
  • Layla Khoja

    (University of Southampton)

  • Maxwell Chipulu

    (University of Southampton)

  • Ranadeva Jayasekera

    (University of Southampton)

Abstract

In this paper, we examine corporate insolvency in the Gulf Cooperation Council (GCC) region between 2004 and 2011. Data comprises 28 financial ratio variables from 112 firms. We use Logit regression with best-subset selection criteria to investigate the predictive value of the ratios in the GCC context, particularly cash flow-based ratios. We also examine the main dimensions of the ratios, and the weights firms attach to them, using 3-way Multidimensional Scaling (MDS). We find that a parsimonious Logit model with the profitability ratio EBITTL, the leverage ratio TLTA and the cash flow ratios CFFOTA and CFFOCL can predict insolvency, ex-ante, with 84.8, 95.6 and 73.9 % overall, type I and II accuracy, respectively. From MDS, we uncover four financial-ratio dimensions: (i) ‘Non-strategic sales activities’, (ii) ‘Profitability and financial stability balance’, (iii) ‘Sales activities against capital conversion’; and (iv) ‘Market value against cash generation’. Insolvent firms appear very specific and attach most salience to the ‘Non-strategic sales activities’ dimension, unlike solvent firms which attach more salience to the other three dimensions. Therefore, the results imply that, to reduce susceptibility to insolvency in the GCC, managers should focus less on non-strategic sales activities.

Suggested Citation

  • Layla Khoja & Maxwell Chipulu & Ranadeva Jayasekera, 2016. "Analysing corporate insolvency in the Gulf Cooperation Council using logistic regression and multidimensional scaling," Review of Quantitative Finance and Accounting, Springer, vol. 46(3), pages 483-518, April.
  • Handle: RePEc:kap:rqfnac:v:46:y:2016:i:3:d:10.1007_s11156-014-0476-y
    DOI: 10.1007/s11156-014-0476-y
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    1. Deakin, Eb, 1972. "Discriminant Analysis Of Predictors Of Business Failure," Journal of Accounting Research, Wiley Blackwell, vol. 10(1), pages 167-179.
    2. Jinlan Ni & Wikil Kwak & Xiaoyan Cheng & Guan Gong, 2014. "The Determinants of Bankruptcy for Chinese Firms," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 1-22.
    3. Peel, MJ & Peel, DA & Pope, PF, 1986. "Predicting corporate failure-- Some results for the UK corporate sector," Omega, Elsevier, vol. 14(1), pages 5-12.
    4. Marga PEETERS, 2011. "The Changing Pattern in International Trade and Capital Flows of the Gulf Cooperation Council Countries in Comparison with other Oil-Exporting Countries," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 1(7), pages 1-29, December.
    5. Edmister, Robert O., 1972. "An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 7(2), pages 1477-1493, March.
    6. Balcaen, Sofie & Ooghe, Hubert, 2006. "35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems," The British Accounting Review, Elsevier, vol. 38(1), pages 63-93.
    7. Lensberg, Terje & Eilifsen, Aasmund & McKee, Thomas E., 2006. "Bankruptcy theory development and classification via genetic programming," European Journal of Operational Research, Elsevier, vol. 169(2), pages 677-697, March.
    8. Pamela K. Coats & L. Franklin Fant, 1993. "Recognizing Financial Distress Patterns Using a Neural Network Tool," Financial Management, Financial Management Association, vol. 22(3), Fall.
    9. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    10. Joy, O. Maurice & Tollefson, John O., 1975. "On the Financial Applications of Discriminant Analysis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 10(5), pages 723-739, December.
    11. Goudie, A W & Meeks, G, 1991. "The Exchange Rate and Company Failure in a Macro-Micro Model of the UK Company Sector," Economic Journal, Royal Economic Society, vol. 101(406), pages 444-457, May.
    12. Molinero, C Mar & Ezzamel, M, 1991. "Multidimensional scaling applied to corporate failure," Omega, Elsevier, vol. 19(4), pages 259-274.
    13. Varetto, Franco, 1998. "Genetic algorithms applications in the analysis of insolvency risk," Journal of Banking & Finance, Elsevier, vol. 22(10-11), pages 1421-1439, October.
    14. Ewout W. Steyerberg & Marinus J. C. Eijkemans & Frank E. Harrell Jr & J. Dik F. Habbema, 2001. "Prognostic Modeling with Logistic Regression Analysis," Medical Decision Making, , vol. 21(1), pages 45-56, February.
    15. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    16. Bley, Jorg, 2011. "Are GCC stock markets predictable?," Emerging Markets Review, Elsevier, vol. 12(3), pages 217-237, September.
    17. Altman, Edward I. & Haldeman, Robert G. & Narayanan, P., 1977. "ZETATM analysis A new model to identify bankruptcy risk of corporations," Journal of Banking & Finance, Elsevier, vol. 1(1), pages 29-54, June.
    18. Christian Koziol, 2014. "A simple correction of the WACC discount rate for default risk and bankruptcy costs," Review of Quantitative Finance and Accounting, Springer, vol. 42(4), pages 653-666, May.
    19. Emery, Dr & Barron, Fh & Messier, Wf, 1982. "Conjoint-Measurement And The Analysis Of Noisy Data - A Comment," Journal of Accounting Research, Wiley Blackwell, vol. 20(2), pages 450-458.
    20. Canbas, Serpil & Cabuk, Altan & Kilic, Suleyman Bilgin, 2005. "Prediction of commercial bank failure via multivariate statistical analysis of financial structures: The Turkish case," European Journal of Operational Research, Elsevier, vol. 166(2), pages 528-546, October.
    21. Casey, C & Bartczak, N, 1985. "Using Operating Cash Flow Data To Predict Financial Distress - Some Extensions," Journal of Accounting Research, Wiley Blackwell, vol. 23(1), pages 384-401.
    22. Evi Neophytou & Cecilio Mar Molinero, 2004. "Predicting Corporate Failure in the UK: A Multidimensional Scaling Approach," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(5‐6), pages 677-710, June.
    23. Teija Laitinen & Maria Kankaanpaa, 1999. "Comparative analysis of failure prediction methods: the Finnish case," European Accounting Review, Taylor & Francis Journals, vol. 8(1), pages 67-92.
    24. Kahya, Emel & Theodossiou, Panayiotis, 1999. "Predicting Corporate Financial Distress: A Time-Series CUSUM Methodology," Review of Quantitative Finance and Accounting, Springer, vol. 13(4), pages 323-345, December.
    25. Blum, M, 1974. "Failing Company Discriminant-Analysis," Journal of Accounting Research, Wiley Blackwell, vol. 12(1), pages 1-25.
    26. Andreas Charitou & Evi Neophytou & Chris Charalambous, 2004. "Predicting corporate failure: empirical evidence for the UK," European Accounting Review, Taylor & Francis Journals, vol. 13(3), pages 465-497.
    27. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    28. Jasim Al-Ajmi & J. H. Kim, 2012. "Are Gulf stock markets efficient? Evidence from new multiple variance ratio tests," Applied Economics, Taylor & Francis Journals, vol. 44(14), pages 1737-1747, May.
    29. Arouri, Mohamed El Hedi & Lahiani, Amine & Nguyen, Duc Khuong, 2011. "Return and volatility transmission between world oil prices and stock markets of the GCC countries," Economic Modelling, Elsevier, vol. 28(4), pages 1815-1825, July.
    30. Dr. Ibrahim Onour, "undated". "The Global Financial Crisis and Equity Markets in Middle East Oil Exporting Countries," API-Working Paper Series 1009, Arab Planning Institute - Kuwait, Information Center.
    31. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    32. Zmijewski, Me, 1984. "Methodological Issues Related To The Estimation Of Financial Distress Prediction Models," Journal of Accounting Research, Wiley Blackwell, vol. 22, pages 59-82.
    33. Wilcox, Jw, 1973. "Prediction Of Business Failure Using Accounting Data," Journal of Accounting Research, Wiley Blackwell, vol. 11, pages 163-179.
    34. Abdullatif Mohamed. A Basheikh, 2012. "Prediction of financial failure of Saudi listed companies," International Journal of Managerial and Financial Accounting, Inderscience Enterprises Ltd, vol. 4(2), pages 195-213.
    35. Cecilio Mar-Molinero & Carlos Serrano-Cinca, 2001. "Bank failure: a multidimensional scaling approach," The European Journal of Finance, Taylor & Francis Journals, vol. 7(2), pages 165-183.
    36. Gentry, Ja & Newbold, P & Whitford, Dt, 1985. "Classifying Bankrupt Firms With Funds Flow Components," Journal of Accounting Research, Wiley Blackwell, vol. 23(1), pages 146-160.
    37. Gupta, Mc & Huefner, Rj, 1972. "Cluster Analysis Study Of Financial Ratios And Industry Characteristics," Journal of Accounting Research, Wiley Blackwell, vol. 10(1), pages 77-95.
    38. Warner, Jerold B, 1977. "Bankruptcy Costs: Some Evidence," Journal of Finance, American Finance Association, vol. 32(2), pages 337-347, May.
    39. Luoma, M & Laitinen, EK, 1991. "Survival analysis as a tool for company failure prediction," Omega, Elsevier, vol. 19(6), pages 673-678.
    40. Frank Busing & Patrick Groenen & Willem Heiser, 2005. "Avoiding degeneracy in multidimensional unfolding by penalizing on the coefficient of variation," Psychometrika, Springer;The Psychometric Society, vol. 70(1), pages 71-98, March.
    41. Ms. May Y Khamis & Mr. Abdelhak S Senhadji, 2010. "Impact of the Global Financial Crisis on the Gulf Cooperation Council Countries and Challenges Ahead: An Update," IMF Departmental Papers / Policy Papers 2010/007, International Monetary Fund.
    42. Osamah M. Al‐Khazali & David K. Ding & Chong Soo Pyun, 2007. "A New Variance Ratio Test of Random Walk in Emerging Markets: A Revisit," The Financial Review, Eastern Finance Association, vol. 42(2), pages 303-317, May.
    43. Evi Neophytou & Cecilio Mar Molinero, 2004. "Predicting Corporate Failure in the UK: A Multidimensional Scaling Approach," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(5-6), pages 677-710.
    44. Mensah, Ym, 1984. "An Examination Of The Stationarity Of Multivariate Bankruptcy Prediction Models - A Methodological Study," Journal of Accounting Research, Wiley Blackwell, vol. 22(1), pages 380-395.
    45. Libby, R, 1975. "Accounting Ratios And Prediction Of Failure - Some Behavioral Evidence," Journal of Accounting Research, Wiley Blackwell, vol. 13(1), pages 150-161.
    46. Common, Mick & Young, Mike, 1997. "Introduction," Ecological Economics, Elsevier, vol. 23(2), pages 79-80, November.
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    More about this item

    Keywords

    Gulf Cooperation Council; Corporate insolvency; Multidimensional scaling; Cluster analysis; Logit; Probit; Financial ratio;
    All these keywords.

    JEL classification:

    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation

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