Bankruptcy prediction for private firms in developing economies: a scoping review and guidance for future research

Management Review Quarterly - Tập 72 - Trang 927-966 - 2021
Frank Ranganai Matenda1, Mabutho Sibanda1, Eriyoti Chikodza2, Victor Gumbo3
1School of Accounting, Economics, and Finance, University of KwaZulu-Natal, Durban, South Africa
2School of Agriculture and Natural Sciences, Great Zimbabwe University, Masvingo, Zimbabwe
3Department of Mathematics, University of Botswana, Gaborone, Botswana

Tóm tắt

The majority of studies on corporate bankruptcy detection are devoted to publicly-traded firms in advanced economies. Literature on bankruptcy prediction for private corporations is generally restricted and that for such corporates in undeveloped markets is even more limited. Existent evidence on privately-owned corporate bankruptcy forecasting is substantially dedicated to advanced countries. Implementing a scoping review structure of Arksey and O’Malley (Int J Law Manag 57:461–485, 2005), this paper carries out a review of literature concerning bankruptcy forecasting for privately-held firms in undeveloped economies. The main emphasis of the scoping review is to examine the reasons and motives for research, emerging trends and research gaps in modelling bankruptcy risk for private corporations in developing countries. The results of this scoping review show that the estimation of bankruptcy probability for privately-traded corporations in developing economies is a relevant discipline that has not been appropriately examined and has some unique and unexplored areas due to its sophistication and distinctive business ethos of private corporates.

Tài liệu tham khảo

Agarwal V, Taffler R (2008) Comparing the performance of market-based and accounting-based bankruptcy prediction models. J Bank Finance 32(8):1541–1551 Alaka H, Oyedele L, Toriola-Coker O, Owolabi H, Akinade O, Bilal M (2015) Methodological approach of construction businesses failure prediction studies: a review. In: Raiden AB, Aboagye-Nimo E (eds) Proceedings 31st annual ARCOM conference, 7–9 September 2015. Association of Researchers in Construction Management, Lincoln UK, pp 1291–1300 Alaka HA, Oyedele LO, Owolabi HA, Kumar V, Ajayi SO, Akinade OO, Bilal M (2018) Systematic review of bankruptcy prediction models: towards a framework for tool selection. Expert Syst Appl 94:164–184 Alfaro L, Chari A, Asis G, Panizza U (2017) Lessons unlearned? Corporate debt in emerging markets. Working Paper 17–097, Harvard Business School Altman EI (1968) Financial ratios, discriminant analysis, and the prediction of corporate bankruptcy. J Finance 23(4):589–609 Altman EI (1983) Corporate financial distress: a complete guide to predicting, avoiding, and dealing with bankruptcy, 1st edn. Wiley, New Jersey Altman EI (1993) Corporate financial distress and bankruptcy, 2nd edn. Wiley, New Jersey Altman EI (2005) An emerging market credit scoring system for corporate bonds. Emerg Mark Rev 6(4):311–323 Altman EI (2018) A fifty-year retrospective on credit risk models, the Altman Z-score family of models and their applications to financial markets and managerial strategies. J Credit Risk 14(4):1–34 Altman E, Resti A, Sironi A (2005) Recovery risk. Risk Books Altman EI, Sabato G, Wilson N (2010) The value of non-financial information in small and medium-sized enterprise risk management. J Credit Risk 6(2):1–33 Altman EI, Iwanicz-Drozdowska M, Laitinen EK, Suvas A (2017) Financial distress prediction in an international context: a review and empirical analysis of Altman’s Z-score model. J Int Financ Manag Acc 28(2):131–171 Appiah KO, Chizema A, Arthur J (2015) Predicting corporate failure: a systematic literature review of methodological issues. Int J Law Manag 57(5):461–485 Arksey H, O’Malley L (2005) Scoping studies: towards a methodological framework. Int J Soc Res Methodol Theory Pract 8(1):19–32 Asker J, Farre-Mensa J, Ljungqvist A (2012) Comparing the investment behavior of public and private firms. NBER Working Paper No. 17394 Atradius Economic Research (2016) A closer look at corporate debt in emerging market economies. Report, Atradius Credit Insurance N.V., Amsterdam Avenhuis JO (2013) Testing the generalisability of the bankruptcy prediction models of Altman, Ohlson and Zmijewski for Dutch listed and large non-listed firms. Thesis, School of Management and Governance, University of Twente Balcaen S, Ooghe H (2006) 35 Years of studies on business failure: an overview of the classic statistical methodologies and their related problems. Br Acc Rev 38(1):63–93 Bank for International Settlements (2014) Buoyant yet fragile? Bank for International Settlements Quarterly Review, Basel Bank for International Settlements (2016) Debt securities data base. Report, Bank for International Settlements, Basel Bauweraerts J (2016) Predicting bankruptcy in private firms: towards a stepwise regression procedure. Int J Financ Res 7(2):147–153 Baxter K, Glendinning C, Clarke S (2008) Making informed choices in social care: the importance of accessible information. Health Soc Care Commun 16(2):197–207 Beaver WH (1966) Financial ratios as predictors of failure. J Acc Res 4:71–111 Beaver WH, McNichols MF, Rhie JW (2005) Have financial statements become less informative? Evidence from the ability of financial ratios to predict bankruptcy. Rev Acc Stud 10(1):93–122 Beaver WH, Correia M, McNichols MF (2012) Do differences in financial reporting attributes impair the predictive ability of financial ratios for bankruptcy? Rev Acc Stud 17(4):969–1010 Beck T, Cull R (2014) Small- and medium-sized enterprise finance in Africa. Working Paper 16, Africa Growth Initiative Blackwell DW, Noland TR, Winters DB (1998) The value of auditor assurance: evidence from loan pricing. J Acc Res 36(1):57–70 Bratten B, Gaynor LM, McDaniel L, Montague NR, Sierra GE (2013) The audit of fair values and other estimates: the effects of underlying environmental, task, and auditor-specific factors. Audit J Pract Theory 32(1):7–44 Brindescu-Olariu D (2016) Bankruptcy prediction based on the debt ratio. Theor Appl Econ 2(607(XXIII)):145–156 Bushe B (2019) The causes and impact of business failure among small to micro and medium enterprises in South Africa. Afr Public Serv Deliv Perform Rev 7(1):a210 Canals-Cerda JJ, Kerr S (2015a) Credit risk modelling in segmented portfolio: an application to credit cards. Working Paper 15-08, Federal Reserve Bank of Philadelphia Canals-Cerda JJ, Kerr S (2015b) Forecasting credit card portfolio losses in the great recession: a study in model risk. J Credit Risk 11(1):29–57 Cangemi B, Servigny De A, Friedman C (2003) Standard and Poor’s credit risk tracker for private firms. Technical Document, Standard & Poor’s risk solutions Cenciarelli VG, Greco G, Allegrini M (2018) External audit and bankruptcy prediction. J Manag Gov 22(4):863–890 Charalambakis EC (2014) On corporate financial distress prediction: what can we learn from private firms in a small open economy? Working Paper, Bank of Greece Charalambakis EC, Garrett I (2019) On corporate financial distress prediction: what can we learn from private firms in a developing economy? Evidence from Greece. Rev Quant Financ Acc 52(2):467–497 Chava S, Jarrow R (2004) Bankruptcy prediction with industry effects. Rev Finance 8(4):537–569 Chen S, Xu S (2018) Comparative study of bankruptcy prediction model. Master Thesis, School of Economics and Management, Lund University Chiwara OM (2015) An evaluation of the factors affecting growth of small and medium enterprises (SMEs) in Zimbabwe: a case study of SMEs in Harare (2009–2015). MBA Dissertation, Graduate School of Management, University of Zimbabwe Clark WR, Clark LA, Raffo DM, Williams RI (2021) Extending Fisch and Block’s (2018) tips for a systematic review in management and business literature. Manag Rev Q 71(1):215–231 Cortina JJ, Didier T, Schmukler SL (2018) Corporate borrowing in emerging markets: fairly long term, but only for a few. No. 8, Research and Policy Briefs, World Bank Group Daudt HM, van Mossel C, Scott SJ (2013) Enhancing the scoping study methodology: a large, inter-professional team’s experience with Arksey and O’Malley’s Framework. BMC Med Res Methodol 13(1):48 Davis K, Drey N, Gould D (2009) What are scoping studies? A review of the nursing literature. Int J Nurs Stud 46(10):1386–1400 Davydenko S, Franks JR (2008) Do bankruptcy codes matter? A study of defaults in France, Germany, and the UK. J Finance 63(2):565–608 Dechow P, Ge W, Schrand C (2010) Understanding earnings quality: a review of the proxies, their determinants and their consequences. J Acc Econ 50(2):344–401 Dichev ID (1998) Is the risk of bankruptcy a systematic risk? J Finance 53(3):1131–1147 Diekes M, Erner C, Langer T, Norden L (2013) Business credit information sharing and default risk of private firms. J Bank Finance 37(8):2867–2878 Dimitras A, Zanakis F, Zopoudinis C (1996) A survey of business failure with an emphasis on failure prediction methods and industrial applications. Eur J Oper Res 90(3):487–513 Doumpos M, Zopoudinis C (1999) A multicriteria discrimination method for the prediction of financial distress: the case of Greece. Multinatl Finance J 3(2):71–101 Eljelly A, Mansour I (2001) Predicting private companies failure in the Sudan. J Afr Bus 2(2):23–43 Faccio M, Marchica M-T, McConnell J, Mura R (2012) Returns and risks to private equity. Available at SSRN: https://doi.org/10.2139/ssrn.1781070 Falkenstein E, Boral A, Carty LV (2000) RiskCalcTM for private companies: Moody's default model. as Published in Global Credit Research, May 2000 Fedorova E, Gilenko E, Dovzhenko S (2013) Bankruptcy prediction for Russian companies: application of combined classifiers. Expert Syst Appl 40(18):7285–7293 Fisch C, Block J (2018) Six tips for your (systematic) literature review in business and management research. Manag Rev Q 68(2):103–106 Foghani S, Mahadi B, Omar R (2017) Promoting clusters and networks for small and medium enterprises to economic development in the globalization era. Sage Open 7(1):1–9 Gao H, Hartford J, Li K (2012) CEO pay cuts and forced turnover: their causes and consequences. J Corporate Finance 18(2):291–310 Geiger MA, Raghunandan K, Rama DV (2005) Recent changes in the association between bankruptcies and prior audit opinions. Audit J Pract Theory 24(1):2135 Grice JS, Dugan M (2001) The limitations of bankruptcy prediction models: some cautions for the researcher. Rev Quant Financ Acc 17(2):151–166 Gul FA, Zhou GS, Zhu XK (2013) Investor protection, firm informational problems, big N auditors, and cost of debt around the world. Audit J Pract Theory 32(3):1–30 Gupta J, Gregoriou A, Healy J (2015) Forecasting bankruptcy for SMEs using hazard function: to what extent does size matter? Rev Quant Financ Acc 45(4):845–869 Hafiz A, Lukumon O, Muhammad B, Olugbenga A, Hakeem O, Sa-heed A (2015) Bankruptcy prediction of construction businesses: towards a big data analytics approach. In: Big data computing service and applications (Big-DataService), 2015 IEEE first international conference, Redwood City, CA, USA, pp 347–352. https://doi.org/10.1109/BigDataService.2015.30 Halabi CE, Lussier RN (2014) A model for predicting small firm performance: increasing the probability of entrepreneurial success in Chile. J Small Bus Enterprise Dev 21(1):4–25 Hamzani U, Achmad D (2018) Bankruptcy prediction: SMEs case study in Pontianak, Indonesia. Account Finance Rev 3(1):09–15 Hayden E (2011) Statistical methods to develop rating models. In: Engelmann B, Rauhmeier R (eds) The Basel II risk parameters: estimation, validation, stress testing—with applications to loan risk management, 2nd edn. Springer, Berlin Hepplestone S, Holden G, Irwin B, Parkin HJ, Thorpe L (2011) Using technology to encourage student engagement with feedback: a literature review. Res Learn Technol 19(2):117–127 Herwadkar S (2017) Corporate leverage in EMEs: did the global financial crisis change the determinants? BIS Working Paper 681, Bank for International Settlements, Basel Hyder S, Lussier RN (2016) Why businesses succeed or fail: a study on small businesses in Pakistan. J Entrep Emerg Econ 8(1):82–100 International Monetary Fund (2015) Corporate leverage in emerging markets—a concern? In The October 2015 Global Financial Stability Report (Vulnerabilities, legacies, and policy challenges risks rotating to emerging markets), International Monetary Fund, Washington D.C. Jacoby G, Li J, Liu M (2019) Financial distress, political affiliation, and earnings management: the case of politically-affiliated private firms. Eur J Finance 25(6):508–523 Jahur MS, Quadir SMN (2012) Financial distress in small and medium enterprises (SMEs) of Bangladesh: determinants and remedial measures. Economia Seria Manag 15(1):46–61 Jarrow RA, Turnball SM (1995) Pricing derivatives on financial securities subject to credit risk. J Finance 50(1):53–85 Jaskiewicz W, Tulenko K (2012) Increasing community health worker productivity and effectiveness: a review of the influence of the work environment. Hum Resour Health 10(1):38 Jensen T, Lando D, Medhat M (2017) Cyclicality and firm size in private firm defaults. Int J Central Bank 13(4):97–145 Kpodoh B (2009) Bankruptcy and financial distress prediction in the mobile telecom industry: the case of MTN-Ghana, Millicom-Ghana and Ghana Telecom. MBA Thesis, School of Management, Blekinge Institute of Technology Kucher A, Feldbauer-Durstmuller B, Duller C (2015) The intellectual foundations of business failure: a co-citation analysis. J Int Bus Econ 15(2):13–38 Liang D, Tsai Ch, Wu H (2015) The effect of feature selection on financial distress prediction. Knowl Based Syst 73(1):289–297 Lings K (2014) The missing piece: solving South Africa’s economic puzzle. Pan McMillan South Africa, Johannesburg Majoni T, Matunhu J, Chaderopa B (2016) SMEs policies and challenges: a comparative analysis of Zimbabwe and South Korea. Int J Sci Res Publ 6(6):377–384 Majukwa D (2019) Sustainability strategies for small and medium-sized enterprises in Zimbabwe. DBA Thesis, College of Management and Technology, Walden University Manz F (2019) Determinants of non-performing loans: what do we know? A Systematic review and avenues for future research. Manag Rev Q 69(4):351–389 Mays N, Roberts E, Popay J (2001) Synthesising research evidence. In: Fulop N, Allen P, Clarke A, Black N (eds) Studying the organisation and delivery of health services: research methods. Routledge, London Mendoza EG, Terrones ME (2008) An anatomy of credit booms: evidence from macro aggregates and micro data. NBER Working Paper 14049, National Bureau for Economic Research, Cambridge, MA Merton RC (1974) On the pricing of corporate debt: the risk structure of interest rates. J Finance 29(2):449–472 Michaely R, Roberts MR (2012) Corporate dividend policies: lessons from private firms. Rev Financ Stud 25(3):711–746 Minnis MC (2011) The value of financial statement verification in debt financing: evidence from private firms. J Acc Res 49(2):457–506 Neumann T (2020) The impact of entrepreneurship on economic, social and environmental welfare and its determinants: a systematic review. Manag Rev Q. https://doi.org/10.1007/s11301-020-00193-7 Obradovic DB, Jaksic D, Rupic IB, Andric M (2018) Insolvency prediction model of the company: the case of the Republic of Serbia. Econ Res Ekonomska Istrazivanja 31(1):139–157 Ohlson JA (1980) Financial ratios and the probabilistic prediction of bankruptcy. J Account Res 18(1):109–131 Organisation for Economic Co-operation and Development (2015) Financing SMEs and entrepreneurs 2015: an OECD scoreboard. Report, OECD Publishing, Paris Ozili PK (2019) Basel III in Africa: making it work. Afr J Econ Manag Stud 10(4):401–407 Papana A, Spyridou A (2020) Bankruptcy prediction: the case of the Greek market. Forecasting 2(4):505–525 Pertuz V, Perez A (2021) Innovation management practices: review and guidance for future research in SMEs. Manag Rev Q 71(1):177–213 Peters MD, Godfrey CM, Khalil H, McInerney P, Parker D, Soares CB (2015) Guidance for conducting systematic scoping reviews. Int J Evid Based Healthc 13(3):141–146 Pham MT, Rajic A, Greig JD, Sargeant JM, Papadopoulos A, McEwen SA (2014) A scoping review of scoping reviews: advancing the approach and enhancing the consistency. Res Synth Methods 5(4):371–385 Pita C, Pierce GJ, Theodossiou I, Macpherson K (2011) An overview of commercial fishers’ attitudes towards marine protected areas. Hydrobiologia 670:289–306 Pott C, Mock TJ, Watrin C (2009) Review of empirical research on rotation and non-audit services: auditor independence in fact vs appearance. J Betriebswirtsch 58(4):209–239 Pozzoli M, Paolone F (2017) Corporate financial distress: a study of the Italian manufacturing industry. Springer, Cham Range MM, Njeru A, Waititu G (2018) Using Altman’s Z Score (sales/total assets) ratio model in assessing likelihood of bankruptcy for sugar companies in Kenya. Int J Acad Res Bus Soc Sci 8(6):683–703 Rim EK, Roy AB (2014) Classifying manufacturing firms in Lebanon: an application of Altman’s model. Procedia Soc Behav Sci 109:11–18 Ritchie J, Spencer L (1994) Qualitative data analysis for applied policy research. In: Bryman A, Burgess RG (eds) Analysing qualitative data. Routledge, London Rylov DV, Shkurkin DV, Borisova AA (2016) Estimation of the probability of default of corporate borrowers. Int J Econ Financ Issues 6(S1):63–67 Schularick M, Taylor AM (2012) Credit booms gone bust: monetary policy, leverage cycles, and financial crises, 1870–2008. Am Econ Rev 102(2):1029–1061 Senbet LW, Wang TY (2012) Corporate financial distress and bankruptcy: a survey. Found Trends Finance 5(4):243–335 Shi Y, Li X (2019) An overview of bankruptcy prediction models for corporate firms: a systematic literature review. Intang Cap 15(2):114–127 Shumway T (2001) Forecasting bankruptcy more accurately: a simple hazard model. J Bus 74(1):101–124 Singh BP, Mishra AK (2016) Re-estimation and comparisons of alternative accounting based bankruptcy prediction models for indian companies. Financ Innov 2(1):1–28 Slefendorfas G (2016) Bankruptcy prediction model for private limited companies of Lithuania. Ekonomika 95(1):134–152 Smaranda C (2014) Scoring functions and bankruptcy prediction models—case study for Romanian companies. Procedia Econ Finance 10:217–226 Stevinson C, Lawlor DA (2004) Searching multiple databases for systematic reviews: added value or diminishing returns? Complement Ther Med 12(4):228–232 Stojanovic T, Drinic L (2017) Applicability of Z-score models on the agricultural companies in the Republic of Srpska (Bosnia and Herzegovina). Agro-knowledge J 18(4):227–236 Sucharew H, Macaluso M (2019) Methods for research evidence synthesis: the scoping review approach. J Hosp Med 14(7):416–418 Takahashi M, Taques FH, Basso L (2018) Altman’s bankruptcy prediction model: test on a wide out of business private companies sample. iBusiness 10(1):21–39 Timmermans M (2004) US corporate bankruptcy prediction models: how accurate are the bankruptcy predicting models of Altman (1968), Ohlson (1980) and Zmijewski (1984) after recalibration, when they are applied to U.S. listed firms in the period after the BACPA change in bankruptcy law? Master’s Thesis, School of Economics and Management, Tilburg University Tinoco MH, Wilson N (2013) Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables. Int Rev Financ Anal 30(C):394–419 Trabelsi S, He R, He L, Kusy M (2015) A comparison of Bayesian, hazard and mixed logit model of bankruptcy prediction. Comput Manag Sci 12(1):81–97 Vazza D, Kraemer NW, Gunter EM (2019) Default, transition, and recovery: 2018 annual global corporate default and rating transition study. Report, S & P Global Ratings Voronkova OV, Kurochkina AA, Firova IP, Bikezina TV (2018) Current trends in the development of small and medium-sized enterprises and individual entrepreneurship in the Russian Federation. Espacios 39(41):13 Waqas H, Md-Rus R (2018) Predicting financial distress: importance of accounting and firm-specific market variables for Pakistan’s listed firms. Cogent Econ Finance 6(1):1545739 Widmann M, Follert F, Wolz M (2020) What is it going to cost? Empirical evidence from a systematic literature review of audit fee determinants. Manag Rev Q. https://doi.org/10.1007/s11301-020-00190-w Xu M, Zhang C (2009) Bankruptcy prediction: the case of Japanese listed companies. Rev Acc Stud 14(4):534–558 Zmijewski ME (1984) Methodological issues related to the estimation of financial distress prediction models. J Acc Res 22:59–82