Skip to main content

Factors Influencing the Financial Distress Probability of Vietnam Enterprises

  • Conference paper
  • First Online:
Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics (ECONVN 2022)

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 427))

Included in the following conference series:

  • 817 Accesses

Abstract

The purpose of the research is to identify the impact factors on the likelihood of financial distress of Vietnamese companies in the period from 2014 to 2019. Accordingly, the paper has used several research models and estimation methodologies with regards to a data set of 623 Vietnamese enterprises. The research applied regression model to pinpoint macro and micro factors that influence an enterprise financial distress. These elements are financial leverage, company size, net working capital to current assets ratio, retained earnings to total assets ratio and pre-tax profit ratio and interest on total assets. The dependent variable is the probability of occurrence or non-occurrence of financial distress of Vietnamese companies. By taking advantage of Bayesian Binary Logistic regression, the results reveal that financial distress (DIS) level increases as leverage (LEV) increases. While company size (SIZE), the ratio of net working capital to short-term asset (WC), the ratio of retained earnings to total assets (RETA) as well as the ratio of profit before interest and taxes to total assets (NITA) together have a negative impact on financial distress (DIS).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Altman, E.I.: Predicting financial distress of companies: revisiting the Z-score and zeta. J. Financ. (2000)

    Google Scholar 

  • Andrade, G., Kaplan, S.N.: How Costly is Financial (Not Economic) Distress? Envidence from Highly Leveraged Transactions that Became Distressed (1998)

    Google Scholar 

  • Gilbert, L.R., Menon, K., Schwartz, K.B.: (n.d.) Predicting bankruptcy for firms in financial distress

    Google Scholar 

  • Graham, J.R., Hazarika, S., Narasimhan, K.: Financial distress in the great depression. Financ. Manage. 40(4), 821–844 (2011)

    Article  Google Scholar 

  • Hashi.: The Economics of Bankruptcy, Reorganization, and Liquidation: Lessons for East European Transition Economies (1997)

    Google Scholar 

  • Lương Trọng Đức.: Reseacrh on factors affecting financial distress and prediction model to joint stock companies in Ho Chi Minh City (2012)

    Google Scholar 

  • Ohlson, J.A.: Financial ratios and the probabilistic prediction of bankruptcy. J. Account. Res. 18(1), 109–131 (1980)

    Article  MathSciNet  Google Scholar 

  • Platt, H.D., Platt, M.B.: Understanding differences between financial distress and bankruptcy. Rev. Appl. Econ. Lincoln University, Department of Financial and Business Systems 2(2), 1–17 (2006)

    Google Scholar 

  • Phạm Thị Hồng Vân.: Measuring financial distress of listed firms (2015)

    Google Scholar 

  • Purnanandam, A.: Financial distress and corporate risk management: Theory and evidence. J. Fin. Econo. 87(3), 706–739 (2008)

    Google Scholar 

  • Svítek, M., Kosheleva, O., Kreinovich, V., Nguyen, T.N.: Why quantum (wave probability) models are a good description of many non-quantum complex systems, and how to go beyond quantum models. In: Kreinovich, V., Thach, N.N., Trung, N.D., Van Thanh, D. (eds.) ECONVN 2019. SCI, vol. 809, pp. 168–175. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-04200-4_13

  • Trần Thị Bích Ngọc.: Factors affecting financial distress (2013)

    Google Scholar 

  • Võ Thị Thu Nguyệt.: Factors affecting the financial distress profitability of listed companies on Ho Chi Minh City Stock Exchange (2017)

    Google Scholar 

  • Thach, N.N.: How to explain when the ES is lower than one? A Bayesian nonlinear mixed-effects approach. J. Risk Financ. Manage. 13, 21 (2020)

    Article  Google Scholar 

  • Thach, N.N., Anh, L.H., An, P.T.H.: The effects of public expenditure on economic growth in Asia countries: a Baytesian model averaging approach. Asian J. Econ. Bank. 3, 126–149 (2019)

    Google Scholar 

  • Thach, N.N.: The variable elasticity of substitution function and endogenous growth: an empirical evidence from Vietnam. Int. J. Econ. Bus. Admin. VIII, 263–277 (2020b).

    Google Scholar 

  • Tinoco, M.H., Wilson, N.: Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables. Int. Rev. Financ. Anal. 30(C), 394–419 (2013)

    Google Scholar 

  • Tuan, T. A., Kreinovich, V., & Nguyen, T. N.: Decision making under interval uncertainty: beyond hurwicz pessimism-optimism criterion. In International Econometric Conference of Vietnam (pp. 176–184). Springer, Cham. (2019, January)

    Google Scholar 

  • Whitaker, R.B.: The early stages of financial distress. J. Econ. Financ. 23(2), 123–132 (1999)

    Article  Google Scholar 

  • Wruck, K.H.: Financial distress, reorganization, and organizational efficiency (1990)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bui Ngoc Mai Phuong .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Trung, N.D., Thanh, B.D., Phuong, B.N.M., Lan, L.T. (2022). Factors Influencing the Financial Distress Probability of Vietnam Enterprises. In: Ngoc Thach, N., Kreinovich, V., Ha, D.T., Trung, N.D. (eds) Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics. ECONVN 2022. Studies in Systems, Decision and Control, vol 427. Springer, Cham. https://doi.org/10.1007/978-3-030-98689-6_42

Download citation

Publish with us

Policies and ethics