Structural Credit Risk Measurement and Corporate Default Prediction in Vietnam: Evidence from a Merton Model

Document Type : Research Article

Authors

1 Faculty of Basic Sciences, Academy of Finance, Hanoi, Vietnam.

2 Faculty of Accounting, Academy of Finance, Hanoi, Viet Nam.

3 Institute of International Finance Education, Academy of Finance, Hanoi, Viet Nam.

4 Posts and Telecommunications Institute of Technology (PTIT), Hanoi, Viet Nam.

5 Faculty of Banking and Insurance, Academy of Finance, Hanoi, Viet Nam.

10.22054/jmmf.2026.93270.1292
Abstract
This paper applies the Merton structural model to measure market-implied corporate default risk in Vietnam. Using an initial universe of 1,646 non-financial listed and registered-for trading firms over 2019-2024, we estimate firm-year distance to default (DD) and model implied probability of default (PD) by combining daily equity-market information with accounting-based debt measures through a hybrid Newton-type nonlinear root-finding procedure. After data-availability, liquidity, and convergence filters, the main sample contains 8,054 valid firm-year observations. The results show that default risk reached a local peak in 2022, when the share of firms with PD above 10% rose to 16.46%, consistent with rising funding costs and liquidity stress in Vietnam's corporate bond market. By 2024, risk conditions had improved materially, with median PD declining to 0.43% and the share of firms with PD above 10% falling to 9.24%. Size and sector analyses indicate that risk is concentrated among small-cap, highly leveraged firms and capital-intensive sectors such as real estate, construction, and steel. Event-based validation under a stricter hard-distress definition shows moderate discriminatory power for Merton-based PD among convergent observations, with an ROC-AUC of approximately 0.656. When non-convergent observations are retained and assigned a conservative high-risk score, the AUC declines to approximately 0.624. Under broader exchange-based distress labels, performance is weaker. Accounting logit benchmarks achieve higher out-of-time AUC values, while the hybrid specification provides only incremental improvement. These results indicate that Merton-based DD and PD are useful market-implied early-warning and risk-ranking indicators, but stronger corporate distress assessment in Vietnam requires combining structural indicators with accounting, liquidity, and sectoral variables.

Keywords


[1] Z. Afik, O. Arad, and K. Galil, Using Merton model for default prediction: An empirical assessment of selected alternatives, Journal of Empirical Finance, (2016) vol. 35 pp. 43–67.
[2] E. I. Altman, Financial ratios, discriminant analysis and the prediction of corporate bankruptcy, Journal of Finance, (1968) vol. 23 no. 4 pp. 589–609.
[3] S. T. Bharath, and T. Shumway, Forecasting default with the Merton distance to default model, Review of Financial Studies, (2008) vol. 21 no. 3 pp. 1339–1369.
[4] F. Black, and J. C. Cox, Valuing corporate securities: Some effects of bond indenture provisions, Journal of Finance, (1976) vol. 31 no. 2 pp. 351–367.
[5] F. Black, and M. Scholes, The pricing of options and corporate liabilities, Journal of Political Economy, (1973) vol. 81 no. 3 pp. 637–654.
[6] J. Y. Campbell, J. Hilscher, and J. Szilagyi, In search of distress risk, Journal of Finance, (2008) vol. 63 no. 6 pp. 2899–2939.
[7] J. Y. Campbell, J. Hilscher, and J. Szilagyi, Predicting financial distress and the performance of distressed stocks, Journal of Investment Management, (2011) vol. 9 no. 2 pp. 14–34.
[8] P. Crosbie, and J. Bohn, Modeling default risk, Moody’s KMV Company, (2003).
[9] D. Duffie, L. Saita, and K. Wang, Multi-period corporate default prediction with stochastic covariates, Journal of Financial Economics, (2007) vol. 83 no. 3 pp. 635–665.
[10] R. Geske, The valuation of corporate liabilities as compound options, Journal of Financial and Quantitative Analysis, (1977) vol. 12 no. 4 pp. 541–552.
[11] J. A. Hanley, and B. J. McNeil, The meaning and use of the area under a receiver operating characteristic (ROC) curve, Radiology, (1982) vol. 143 no. 1 pp. 29–36.
[12] S. A. Hillegeist, E. K. Keating, D. P. Cram, and K. G. Lundstedt, Assessing the probability of bankruptcy, Review of Accounting Studies, (2004) vol. 9 no. 1 pp. 5–34.
[13] E. P. Jones, S. P. Mason, and E. Rosenfeld, Contingent claims analysis of corporate capital structures: An empirical investigation, Journal of Finance, (1984) vol. 39 no. 3 pp. 611–625.
[14] H. E. Leland, Corporate debt value, bond covenants, and optimal capital structure, Journal of Finance, (1994) vol. 49 no. 4 pp. 1213–1252.
[15] H. E. Leland, and K. B. Toft, Optimal capital structure, endogenous bankruptcy, and the term structure of credit spreads, Journal of Finance, (1996) vol. 51 no. 3 pp. 987–1019.
[16] F. A. Longstaff, and E. S. Schwartz, A simple approach to valuing risky fixed and floating rate debt, Journal of Finance, (1995) vol. 50 no. 3 pp. 789–819.
[17] R. C. Merton, On the pricing of corporate debt: The risk structure of interest rates, Journal of Finance, (1974) vol. 29 no. 2 pp. 449–470.
[18] J. A. Ohlson, Financial ratios and the probabilistic prediction of bankruptcy, Journal of Accounting Research, (1980) vol. 18 no. 1 pp. 109–131.
[19] A. M. Puertas, M. A. Sánchez-Granero, J. Clara-Rahola, J. E. Trinidad-Segovia, and F. J. de las Nieves, Stock markets: A view from soft matter, Physical Review E, (2020) vol. 101 032307.
[20] J. E. Trinidad Segovia, M. Fernández-Martínez, and M. A. Sánchez-Granero, A novel approach to detect volatility clusters in financial time series, Physica A: Statistical Mechanics and its Applications, (2019) vol. 535 122452.
[21] M. Vassalou, and Y. Xing, Default risk in equity returns, Journal of Finance, (2004) vol. 59 no. 2 pp. 831–868.

Articles in Press, Accepted Manuscript
Available Online from 24 October 2026

  • Receive Date 03 June 2026
  • Revise Date 11 October 2026
  • Accept Date 12 October 2026