PROBABILITY OF DEFAULT, INTEREST MARGIN, AND BANK EFFICIENCY: EMPIRICAL TEST OF MERTON MODEL IN INDONESIAN BANKING

Buddi Wibowo

Abstract


Measurement of bank failure risk is still a challenging research problem. This study is aimed to measure the Indonesia banks probability of bankruptcywith Model Merton which has the better predictive power and is based on a far stronger financial theoretical frameworkcompared to the popular bankruptcy prediction model which is categorized by Sundaresan (2013) as a theoretical model such as Altman Z-score model and Ohlson 0 score more popular. The study also examine the relationship of bank efficiency and market power with its probability of default. The test results demonstrate that bank efficiency significantly affects the dynamics of bank’s default risk.


Keywords


Probability of Default; Risk; Efficiency; Bank; Merton Model.

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References


Afik, Z., Arad, O., &Galil, K. 2016.Using Merton model for default prediction: An empirical assessment of selected alternatives, Journal of Empirical Finance 35, 43–67

Altman, E. 1968.Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. Journal of Finance, 189–209.

Anginer, D., Demirguc-Kunt, A., & Zhu, M. (2014). How does competition affect bank systemic risk? Journal of Financial Intermediation, 1-26.

Beaver, W. H. 1966. Market prices, financial ratios, and the prediction of failure. Journal of Accounting Research, 6(2), 179 182.

Beck, T., Jonghe, O. D., &Schepens, G. 2012. Bank competition and stability: Cross-country heterogeneity. Journal of Financial Intermediation, 218-244.

Betz, O., Peltonen, A, &Sarlin, B. 2014.Predicting Distress in European Banks, Journal of Banking & Finance 45, 225 -241

Bharat, S. & Shumway, T. 2008. Forecasting Default with the Merton Distance to Default Model, Review of Financial Studies, 21 (3): 1339-1369.

Edmister, R. 1972. An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction, The Journal of Financial and Quantitative Analysis, Vol. 7, No. 2, 1477-1493

Ferreira Filipe, S., et al. 2016. Pricing default risk: The good, the bad, and the anomaly. Journal of Financial Stability, http://dx.doi.org/10.1016/ j.jfs.2016.07.001

Hadad, M., Santoso, W., &Sarwedi, B. 2004. Model PrediksiKepailitan Bank Umum di Indonesia, Bank Indonesia Research Paper, Direktorat Penelitian dan Peraturan Perbankan Bank Indonesia

Hovakimian, A., Kayhan, A., & Titman, S. 2012.Are corporate default probabilities consistent with the static tradeoff theory? Review of Financial Studies, 2012, vol 25, No. 2, 315-340.

Hughes, J. &Mester, L. 2013. Who Said Large Banks Don’t Experience Scale Economies? Evidence From a Risk-Return-Driven Cost Function, Journal of Financial Intermediation 22, 559-585.

Martin, D. 1996. Early Warning of Bank Failure: A Logit Regression Approach, Journal of Banking and Finance, 249-276

Merton, R. 1974. On the pricing of corporate debt: the risk structure of interest rate. Journal of Finance, 449-470.

Ohlson, J. A. 1980. Financial ratios and the probabilistic prediction of bankruptcy. Journal of Accounting Research, New York: 18(1), 109–131.

Taffler, R. J. 1982. Forecasting Company Failure in the UK Using Discriminant Analysis and Financial Ratio Data, Journal of the Royal Statistical Society. Series A, Vol. 145, No. 3, 342-358

Sundaresan, S., 2013. A Review of Mertons Model of the FirmsCapital Structure with its Wide Applications. Annual Review of Financial Economics, 5, 21–41.




DOI: http://dx.doi.org/10.21776/ub.jam.2017.015.02.05

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