Cash flow and financial distress of private listed enterprises on the Vietnam stock market: A quantile regression approach

References

• Altman, E. I. (1968). Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. The Journal of Finance, 23(4), 589–13. https://doi.org/10.2307/2978933
   Web of Science ®Google Scholar
• Altman, E. I., & Hotchkiss, E. (2006). Corporate financial dis- tress and bankruptcy (3rd ed.). John Wiley & Sons, Inc.
   Google Scholar
• Arnold, G. (2013). Corporate financial management (pp. 849–902). Pearson.
   Google Scholar
• Aziz, M. A., & Dar, H. A. (2006). Predicting corporate bankruptcy: Where we stand? Corporate Governance. The International Journal of Business in Society, 6(3), 11–17. https://doi.org/10.1108/14720700610649436
   Google Scholar
• Bae, J. K. (2012). Predicting financial distress of the South Korean manufacturing industries. Expert Systems with Applications, 39(10), 9159–9165. https://doi.org/10.1016/j.eswa.2012.02.058
   Web of Science ®Google Scholar
• Beaver, W. H. (1966). Financial ratios as predictors of failure. Journal of Accounting Research, 4(3), 71–111. https://doi.org/10.2307/2490171.
   Web of Science ®Google Scholar
• Brealey, R. A., Myers, S. C., & Allen, F. (2008). Principles of Corporate Finance (Ninth ed.). Mc Graw – Hill International Edition.
   Google Scholar
• Bui, K. D., & Mai, T. T. N. (2021). Financial distress and cash flow of listed non-financial enterprises in Vietnam. Banking Science & Training Review, 1, 61–70. https://scholar.google.com/scholar?hl=vi&as_sdt=0%2C5&q=Kiệt+quệ+tài+ch%C3%ADnh+và+dòng+tiền+của+các+doanh+nghiệp+phi+tài+ch%C3%ADnh+niêm+yết+tại+Việt+Nam’&btnG=
   Google Scholar
• Cohen, J. (1988). Set correlation and contingency tables. Applied Psychological Measurement, 12(4), 425–434. https://doi.org/10.1177/014662168801200410
   Web of Science ®Google Scholar
• Denis, D. J., & Mihov, V. T. (2003). The choice among bank debt, non-bank private debt, and public debt: Evidence from new corporate borrowings. Journal of Financial Economics, 70(1), 3–28. https://doi.org/10.1016/S0304-405X(03)00140-5
   Web of Science ®Google Scholar
• Dickinson, V. (2011). Cash flow patterns as a proxy for firm life cycle. The Accounting Review, 86(6), 1969–1994. https://doi.org/10.2308/accr-10130
   Web of Science ®Google Scholar
• Edward, A. (1968). Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. Journal of Finance, 23(4), 589–609. https://doi.org/10.2307/2978933
   Web of Science ®Google Scholar
• Fawzi, N. S., Kamaluddin, A., & Sanusi, Z. M. (2015). Monitoring distressed companies through cash flow analysis. Procedia Economics and Finance, 28, 136–144. https://doi.org/10.1016/S2212-5671(15)01092-8
   Google Scholar
• Foster, B. P., & Ward, T. J. (1997). Using cash flow trends to identify risks of bankruptcy. The CPA Journal, 67(9), 60. https://scholar.google.com/scholar?hl=vi&as_sdt=0%2C5&q=Foster%2C+B.+P.%2C+%26+Ward%2C+T.+J.+%281997%29.+Using+cash+flow+trends+to+identify+risks+of+bankruptcy.+The+CPA+Journal%2C+67%289%29%2C+60&btnG=
   Google Scholar
• Freixas, X., Parigi, B. M., & Rochet, J. C. (2000). Systemic risk, interbank relations, and liquidity provision by the central bank. Journal of Money, Credit, and Banking, 32(3), 611–638. https://doi.org/10.2307/2601198
   Web of Science ®Google Scholar
• Gathecha, J. W. (2016). Effect of firm characteristics on financial distress of non-financial listed firms at Nairobi Securities Exchange. Kenya (Doctoral dissertation, Kenyatta University).
   Google Scholar
• Gentry, J. A., Newbold, P., & Whitford, D. T. (1990). Profiles of cash flow components. Financial Analysts Journal, 46(4), 41–48. https://doi.org/10.2469/faj.v46.n4.41
   Google Scholar
• Grice, J. S., & Dugan, M. T. (2001). The limitations of bankruptcy prediction models: Some cautions for the researcher. Review of Quantitative Finance and Accounting, 17(2), 151–166. https://doi.org/10.1023/A:1017973604789
   Google Scholar
• Hao, L., & Naiman, D. Q. (2007). Quantile regression (No. 149). Sage.
   Google Scholar
• Honjo, Y. (2000). Business failure of new firms: An empirical analysis using a multiplicative hazards model. International Journal of Industrial Organization, 18(4), 557–574. https://doi.org/10.1016/S0167-7187(98)00035-6
   Web of Science ®Google Scholar
• Horne, J. C. V., & Wachowicz, J. M. (2008). Fundamentals of financial management (13th ed.). Prentice Hall.
   Google Scholar
• Hossain, M. A., Hossain, M. S., & Jahan, N. (2018). Predicting continuance usage intention of mobile payment: An experimental study of Bangladeshi customers. Asian Economic and Financial Review, 8(4), 487–498. https://doi.org/10.18488/journal.aefr.2018.84.487.498
   Google Scholar
• Isayas, Y. N., & McMillan, D. (2021). Financial distress and its determinants: Evidence from insurance companies in Ethiopia. Cogent Business & Management, 8(1), 1951110. https://doi.org/10.1080/23311975.2021.1951110
   Web of Science ®Google Scholar
• Jaax, A. (2020). Private sector development and provincial patterns of poverty: Evidence from Vietnam. World Development, 127, 104747. https://doi.org/10.1016/j.worlddev.2019.104747
   Web of Science ®Google Scholar
• Jantadej, P. (2006). Using the combinations of cash flow components to predict financial distress. The University of Nebraska-Lincoln.
   Google Scholar
• Jooste, L. (2007). An evaluation of the usefulness of cash flow ratios to predict financial distress. Acta Commercii, 7(1), 1–13. https://doi.org/10.4102/ac.v7i1.2
   Google Scholar
• Kamaluddin, A., Ishak, N., & Mohammed, N. F. (2019). Financial distress prediction through cash flow ratios analysis. International Journal of Financial Research, 10(3), 63–76. https://doi.org/10.5430/ijfr.v10n3p63
   Google Scholar
• Karas, M., & Režňáková, M. (2020). Cash flows indicators in the prediction of financial distress. Engineering Economics, 31(5), 525–535. https://doi.org/10.5755/j01.ee.31.5.25202
   Google Scholar
• Karimli, T. (2018). The impact of cash flow volatility on corporate debt decisions. Central European University.
   Google Scholar
• Keefe, M. O. C., & Yaghoubi, M. (2016). The influence of cash flow volatility on capital structure and the use of debt of different maturities. Journal of Corporate Finance, 38, 18–36. https://doi.org/10.1016/j.jcorpfin.2016.03.001
   Web of Science ®Google Scholar
• Khaliq, A., Altarturi, B. H. M., Thaker, H. M. T., Harun, M. Y., & Nahar, N. (2014). Identifying financial distress firms: A case study of Malaysia’s Government Linked Companies (GLC). International Journal of Economics, Finance and Management, 3(3), 141–150.
   Google Scholar
• Kim, S. Y., & Upneja, A. (2014). Predicting restaurant financial distress using decision tree and AdaBoosted decision tree models. Economic Modelling, 36, 354–362. https://doi.org/10.1016/j.econmod.2013.10.005
   Web of Science ®Google Scholar
• Koenker, R., & Bassett, G.,sJr. (1978). Regression quantiles. Econometrica: Journal of the Econometric Society, 46(1), 33–50. https://doi.org/10.2307/1913643
   Web of Science ®Google Scholar
• Kokko, A., & Thang, T. T. (2014). Foreign direct investment and the survival of domestic private firms in Viet Nam. Asian Development Review, 31(1), 53–91. https://doi.org/10.1162/ADEV_a_00025
   Google Scholar
• Kordestani, G., Bakhtiari, M., & Biglari, V. (2011). Ability of combinations of cash flow components to predict financial distress. Business: Theory and Practice, 12(3), 277–285. https://doi.org/10.3846/btp.2011.28
   Google Scholar
• Kristanti, F. T., Rahayu, S., & Huda, A. N. (2016). The determinant of financial distress on Indonesian family firm. Procedia-Social and Behavioral Sciences, 219, 440–447. https://doi.org/10.1016/j.sbspro.2016.05.018
   Google Scholar
• Lau, A. H. L. (1987). A five-state financial distress prediction model. Journal of Accounting Research, 25(1), 127–138. https://doi.org/10.2307/2491262
   Web of Science ®Google Scholar
• Le Maux, J., & Morin, D. (2011). Black and white and red all over: Lehman Brothers’ inevitable bankruptcy splashed across its financial statements. International Journal of Business and Social Science, 2(20), 39-65. https://www.academia.edu/49493014/Cash_flows_ratios_as_predictors_of_corporate_failure
   Google Scholar
• Le, H. V., & Nguyen, H. B. (2022). Financial leverage, operating cash flows and financial distress of listed non-financial companies in Vietnam. Banking Science & Training Review, 238, 24-35.
   Google Scholar
• Martin, D. (1977). Early warning of bank failure: A logit regression approach. Journal of Banking & Finance, 1(3), 249–276. https://doi.org/10.1016/0378-4266(77)90022-X
   Google Scholar
• Murty, A. V. N., & Misra, D. P. (2004). Cash flow ratios as indicators of corporate failure. Finance India, 18(3), 1315–1325.. https://scholar.google.com/scholar_lookup?title=Cash%20Flow%20Ratios%20as%20Indicators%20of%20Corporate%20Failure&publication_year=2004&author=A.V.%20Murty&author=D.P.%20Misra.
   Google Scholar
• Nguyen, H. Y. (2020). CEOs, cash flow fluctuations and capital structure of listed companies in Vietnam. Journal of Asian Business and Economic Studies – JABES, (6), 44–71. http://jabes.ueh.edu.vn/Content/ArticleFiles/02b38b0e-ca93-4b36-8d39-96ed70c756cd/JABES-2020-10-V109.pdf
   Google Scholar
• Ohlson, J. A. (1980). Financial ratios and the probabilistic prediction of bankruptcy. Journal of Accounting Research, 18(1), 109–131. https://doi.org/10.2307/2490395
   Web of Science ®Google Scholar
• Rodgers, C. S. (2011). Predicting corporate bankruptcy using multivariant discriminate analysis (MDA), logistic regression and operating cash flows (OCF) ratio analysis: A cash flow-based approach. Golden Gate University.
   Google Scholar
• Romadhina, A. P., Fitriani, M. N., & Andhitiyara, R. (2022). The effect of cash flow and currency exchange rate on financial distress. Jurnal Akuntansi Dan Perpajakan Jayakarta, 3(2), 146–167. https://doi.org/10.53825/japjayakarta.v3i02.111
   Google Scholar
• Roslan, N. H., RUS, R. M., & Rozzani, N. Determinants of cash flows towards financial distress prediction among manufacturing companies in Malaysia. https://doi.org/10.37602/IJSSMR.2022.5113
   Google Scholar
• Sayari, N., & Mugan, F. N. C. S. (2013). Cash flow statement as an evidence for financial distress. Universal Journal of Accounting and Finance, 1(3), 95–103. https://doi.org/10.13189/ujaf.2013.010302
   Google Scholar
• Schellenger, M., & Cross, J. N. (1994). FASB 95, Cash Flow and bankruptcy. Journal of Economics and Finance, 18(3), 261–274. https://doi.org/10.1007/BF02920486
   Google Scholar
• Shamsudin, A., & Kamaluddin, A. (2015). Impending Bankruptcy: Examining cash flow pattern of distress and healthy firms. Procedia Economics and Finance, 31, 766–774. https://doi.org/10.1016/S2212-5671(15)01166-1
   Google Scholar
• Utami, E. R. (2016). “The influence of ownership structure and cash flow on financial distress. Essay. Faculty of Economics and Business, Diponegoro University. Semarang.
   Google Scholar
• Ward, T. J. (1994). Cash flow information and the prediction of financially distressed mining, oil and gas firms: A comparative study. Journal of Applied Business Research (JABR), 10(3), 78–86. https://doi.org/10.19030/jabr.v10i3.5927
   Google Scholar
• Yap, B. C. F., Munuswamy, S., & Mohamed, Z. (2012). Evaluating company failure in Malaysia using financial ratios and logistic regression. Asian Journal of Finance & Accounting, 4(1), 330–344. http://dx.doi.org/10.5296/ajfa.v4i1.1752
   Google Scholar
• Zavgren, C. V. (1985). Assessing the vulnerability to failure of American industrial firms: A logistic analysis. Journal of Business Finance & Accounting, 12(1), 19–45. https://doi.org/10.1111/j.1468-5957.1985.tb00077.x
   Google Scholar
• Zmijewski, M. E. (1984). Methodological issues related to the estimation of financial distress prediction models. Journal of Accounting Research, 22, 59–82. https://doi.org/10.2307/2490859
   Web of Science ®Google Scholar