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Development and testing of an augmented distress prediction model: A comparative study on a developed and an emerging market

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  • Ashraf, Sumaira
  • Félix, Elisabete G.S.
  • Serrasqueiro, Zélia

Abstract

This study presents a financial distress (FD) prediction model that utilizes accounting, market-based, and financial reporting quality (FRQ) measures. We use a panel logit framework to analyze data for developed market firms from the UK and emerging market firms from Pakistan during the period 2001-2015. Obscured portions of financial reports, such as that created by management tactics employing income smoothing, can be measured with FRQ proxies. Our results find that such FRQ measures have significant influence on the accuracy of distress prediction modeling, in both the UK and Pakistani markets. Further, we validate the performance of our models through a fully non-linear classifier known as random forest methodology. Our robustness checks reveal that the predictive accuracy of our model remains high during different tranches of the business cycle and across different econometric techniques.

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  • Ashraf, Sumaira & Félix, Elisabete G.S. & Serrasqueiro, Zélia, 2020. "Development and testing of an augmented distress prediction model: A comparative study on a developed and an emerging market," Journal of Multinational Financial Management, Elsevier, vol. 57.
  • Handle: RePEc:eee:mulfin:v:57-58:y:2020:i::s1042444x20300487
    DOI: 10.1016/j.mulfin.2020.100659
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    as
    1. Charitou, Andreas & Lambertides, Neophytos & Trigeorgis, Lenos, 2007. "Managerial discretion in distressed firms," The British Accounting Review, Elsevier, vol. 39(4), pages 323-346.
    2. Hernandez Tinoco, Mario & Holmes, Phil & Wilson, Nick, 2018. "Polytomous response financial distress models: The role of accounting, market and macroeconomic variables," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 276-289.
    3. Almamy, Jeehan & Aston, John & Ngwa, Leonard N., 2016. "An evaluation of Altman's Z-score using cash flow ratio to predict corporate failure amid the recent financial crisis: Evidence from the UK," Journal of Corporate Finance, Elsevier, vol. 36(C), pages 278-285.
    4. Arellano, Manuel & Honore, Bo, 2001. "Panel data models: some recent developments," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 53, pages 3229-3296, Elsevier.
    5. Wu, Y. & Gaunt, C. & Gray, S., 2010. "A comparison of alternative bankruptcy prediction models," Journal of Contemporary Accounting and Economics, Elsevier, vol. 6(1), pages 34-45.
    6. Konan Chan & Louis K. C. Chan & Narasimhan Jegadeesh & Josef Lakonishok, 2001. "Earnings Quality and Stock Returns," NBER Working Papers 8308, National Bureau of Economic Research, Inc.
    7. Anwer S. Ahmed & Scott Duellman, 2011. "Evidence on the role of accounting conservatism in monitoring managers’ investment decisions," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 51(3), pages 609-633, September.
    8. La Porta, Rafael & Florencio Lopez-de-Silanes & Andrei Shleifer & Robert W. Vishny, 1997. "Legal Determinants of External Finance," Journal of Finance, American Finance Association, vol. 52(3), pages 1131-1150, July.
    9. Juan Manuel García Lara & Beatriz García Osma & Araceli Mora, 2005. "The Effect of Earnings Management on the Asymmetric Timeliness of Earnings," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(3‐4), pages 691-726, April.
    10. Jones, Jj, 1991. "Earnings Management During Import Relief Investigations," Journal of Accounting Research, Wiley Blackwell, vol. 29(2), pages 193-228.
    11. 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.
    12. Gilson, Stuart C., 1989. "Management turnover and financial distress," Journal of Financial Economics, Elsevier, vol. 25(2), pages 241-262, December.
    13. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
    14. Liao, Lin & Kang, Helen & Morris, Richard D. & Tang, Qingliang, 2013. "Information asymmetry of fair value accounting during the financial crisis," Journal of Contemporary Accounting and Economics, Elsevier, vol. 9(2), pages 221-236.
    15. David F. Larcker & Scott A. Richardson, 2004. "Fees Paid to Audit Firms, Accrual Choices, and Corporate Governance," Journal of Accounting Research, Wiley Blackwell, vol. 42(3), pages 625-658, June.
    16. Iatridis, George & Kadorinis, George, 2009. "Earnings management and firm financial motives: A financial investigation of UK listed firms," International Review of Financial Analysis, Elsevier, vol. 18(4), pages 164-173, September.
    17. Rajgopal, Shiva & Venkatachalam, Mohan, 2011. "Financial reporting quality and idiosyncratic return volatility," Journal of Accounting and Economics, Elsevier, vol. 51(1-2), pages 1-20, February.
    18. Rajgopal, Shiva & Venkatachalam, Mohan, 2011. "Financial reporting quality and idiosyncratic return volatility," Journal of Accounting and Economics, Elsevier, vol. 51(1), pages 1-20.
    19. Dimitras, Augustinos I. & Kyriakou, Maria I. & Iatridis, George, 2015. "Financial crisis, GDP variation and earnings management in Europe," Research in International Business and Finance, Elsevier, vol. 34(C), pages 338-354.
    20. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    21. Sumaira Ashraf & Elisabete G. S. Félix & Zélia Serrasqueiro, 2019. "Do Traditional Financial Distress Prediction Models Predict the Early Warning Signs of Financial Distress?," JRFM, MDPI, vol. 12(2), pages 1-17, April.
    22. Collins, Daniel W. & Kothari, S. P., 1989. "An analysis of intertemporal and cross-sectional determinants of earnings response coefficients," Journal of Accounting and Economics, Elsevier, vol. 11(2-3), pages 143-181, July.
    23. Sudheer Chava & Robert A. Jarrow, 2008. "Bankruptcy Prediction with Industry Effects," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 21, pages 517-549, World Scientific Publishing Co. Pte. Ltd..
    24. Chae Woo Nam & Tong Suk Kim & Nam Jung Park & Hoe Kyung Lee, 2008. "Bankruptcy prediction using a discrete-time duration model incorporating temporal and macroeconomic dependencies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(6), pages 493-506.
    25. David S. Jenkins & Gregory D. Kane & Uma Velury, 2009. "Earnings Conservatism and Value Relevance Across the Business Cycle," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(9‐10), pages 1041-1058, November.
    26. Gady Jacoby & Jialong Li & Mingzhi Liu, 2019. "Financial distress, political affiliation and earnings management: the case of politically affiliated private firms," The European Journal of Finance, Taylor & Francis Journals, vol. 25(6), pages 508-523, April.
    27. Dietrich, Andreas & Wanzenried, Gabrielle, 2011. "Determinants of bank profitability before and during the crisis: Evidence from Switzerland," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(3), pages 307-327, July.
    28. Andrei Shleifer & Robert W. Vishny, 1994. "Politicians and Firms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(4), pages 995-1025.
    29. Bushman, Robert M. & Smith, Abbie J., 2001. "Financial accounting information and corporate governance," Journal of Accounting and Economics, Elsevier, vol. 32(1-3), pages 237-333, December.
    30. Pindado, Julio & Rodrigues, Luis & de la Torre, Chabela, 2008. "Estimating financial distress likelihood," Journal of Business Research, Elsevier, vol. 61(9), pages 995-1003, September.
    31. Mselmi, Nada & Lahiani, Amine & Hamza, Taher, 2017. "Financial distress prediction: The case of French small and medium-sized firms," International Review of Financial Analysis, Elsevier, vol. 50(C), pages 67-80.
    32. David Burgstahler & Michael Eames, 2006. "Management of Earnings and Analysts' Forecasts to Achieve Zero and Small Positive Earnings Surprises," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(5-6), pages 633-652.
    33. Francis, Jennifer & LaFond, Ryan & Olsson, Per & Schipper, Katherine, 2005. "The market pricing of accruals quality," Journal of Accounting and Economics, Elsevier, vol. 39(2), pages 295-327, June.
    34. Andreas Charitou & Neophytos Lambertides & Lenos Trigeorgis, 2007. "Earnings Behaviour of Financially Distressed Firms: The Role of Institutional Ownership," Abacus, Accounting Foundation, University of Sydney, vol. 43(3), pages 271-296, September.
    35. David S. Jenkins & Gregory D. Kane & Uma Velury, 2009. "Earnings Conservatism and Value Relevance Across the Business Cycle," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(9-10), pages 1041-1058.
    36. Hernandez Tinoco, Mario & Wilson, Nick, 2013. "Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 394-419.
    37. Li, Yuanhui & Li, Xiao & Xiang, Erwei & Geri Djajadikerta, Hadrian, 2020. "Financial distress, internal control, and earnings management: Evidence from China," Journal of Contemporary Accounting and Economics, Elsevier, vol. 16(3).
    38. Sunti Tirapat & Aekkachai Nittayagasetwat, 1999. "An Investigation of Thai Listed Firms' Financial Distress Using Macro and Micro Variables," Multinational Finance Journal, Multinational Finance Journal, vol. 3(2), pages 103-125, June.
    39. Rebecca L. Rosner, 2003. "Earnings Manipulation in Failing Firms," Contemporary Accounting Research, John Wiley & Sons, vol. 20(2), pages 361-408, June.
    40. Yung, Kenneth & Root, Andrew, 2019. "Policy uncertainty and earnings management: International evidence," Journal of Business Research, Elsevier, vol. 100(C), pages 255-267.
    41. 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.
    42. Edward I. Altman & Gabriele Sabato, 2013. "MODELING CREDIT RISK FOR SMEs: EVIDENCE FROM THE US MARKET," World Scientific Book Chapters, in: Oliviero Roggi & Edward I Altman (ed.), Managing and Measuring Risk Emerging Global Standards and Regulations After the Financial Crisis, chapter 9, pages 251-279, World Scientific Publishing Co. Pte. Ltd..
    43. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    44. 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.
    45. David Burgstahler & Michael Eames, 2006. "Management of Earnings and Analysts' Forecasts to Achieve Zero and Small Positive Earnings Surprises," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(5‐6), pages 633-652, June.
    46. Beaver, William H. & Correia, Maria & McNichols, Maureen F., 2011. "Financial Statement Analysis and the Prediction of Financial Distress," Foundations and Trends(R) in Accounting, now publishers, vol. 5(2), pages 99-173, May.
    47. DeAngelo, Harry & DeAngelo, Linda & Skinner, Douglas J., 1994. "Accounting choice in troubled companies," Journal of Accounting and Economics, Elsevier, vol. 17(1-2), pages 113-143, January.
    48. Pham Vo Ninh, Binh & Do Thanh, Trung & Vo Hong, Duc, 2018. "Financial distress and bankruptcy prediction: An appropriate model for listed firms in Vietnam," Economic Systems, Elsevier, vol. 42(4), pages 616-624.
    49. Joseph, George & Lipka, Roland, 2006. "Distressed firms and the secular deterioration in usefulness of accounting information," Journal of Business Research, Elsevier, vol. 59(2), pages 295-303, February.
    50. Delen, Dursun & Cogdell, Douglas & Kasap, Nihat, 2012. "A comparative analysis of data mining methods in predicting NCAA bowl outcomes," International Journal of Forecasting, Elsevier, vol. 28(2), pages 543-552.
    51. Philip Bunn & Victoria Redwood, 2003. "Company accounts based modelling of business failures and the implications for financial stability," Bank of England working papers 210, Bank of England.
    52. Grice, John Stephen & Ingram, Robert W., 2001. "Tests of the generalizability of Altman's bankruptcy prediction model," Journal of Business Research, Elsevier, vol. 54(1), pages 53-61, October.
    53. Stewart Jones & David Johnstone & Roy Wilson, 2017. "Predicting Corporate Bankruptcy: An Evaluation of Alternative Statistical Frameworks," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 44(1-2), pages 3-34, January.
    54. Campa, Domenico & Camacho-Miñano, María-del-Mar, 2015. "The impact of SME’s pre-bankruptcy financial distress on earnings management tools," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 222-234.
    55. Vineet Agarwal & Richard Taffler, 2008. "Does Financial Distress Risk Drive the Momentum Anomaly?," Financial Management, Financial Management Association International, vol. 37(3), pages 461-484, September.
    56. Edward I Altman & Tara K N Baidya & Luis Manoel Ribeiro Dias, 1979. "Assessing Potential Financial Problems for Firms in Brazil," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 10(2), pages 9-24, June.
    57. Xingqiang Du & Shaojuan Lai, 2018. "Financial Distress, Investment Opportunity, and the Contagion Effect of Low Audit Quality: Evidence from China," Journal of Business Ethics, Springer, vol. 147(3), pages 565-593, February.
    58. Shumway, Tyler, 2001. "Forecasting Bankruptcy More Accurately: A Simple Hazard Model," The Journal of Business, University of Chicago Press, vol. 74(1), pages 101-124, January.
    59. Filip, Andrei & Raffournier, Bernard, 2014. "Financial Crisis And Earnings Management: The European Evidence," The International Journal of Accounting, Elsevier, vol. 49(4), pages 455-478.
    60. García Lara, Juan Manuel & García Osma, Beatriz & Penalva, Fernando, 2016. "Accounting conservatism and firm investment efficiency," Journal of Accounting and Economics, Elsevier, vol. 61(1), pages 221-238.
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    Cited by:

    1. Sumaira Ashraf & Elisabete G. S. Félix & Zélia Serrasqueiro, 2022. "Does board committee independence affect financial distress likelihood? A comparison of China with the UK," Asia Pacific Journal of Management, Springer, vol. 39(2), pages 723-761, June.

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    More about this item

    Keywords

    Financial distress; Panel logit analysis; Random forest methodology; Financial reporting quality; Earning management;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation

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