Survival Analysis of Industrial Sectors in Indonesia Companies

Farida Titik Kristanti, Deannes Isnuwardhana


The objective of this study is to discover evidence whether the variables selected as predictors affect the probability of companies experiencing financial distress. Through a purposive sampling technique, 336 companies listed on the Indonesia Stock Exchange were chosen and then grouped into three sectoral groups of companies. One of evidence resulted from survival analysis using the Cox hazard model showed that if the control of corruption increases then the probability of companies undergoing financial distress will decrease. During the research, the evidence was consistent across the three sectoral groups of Infrastructure, Mining, Property (IMP); Basic industry and chemical, Consumer goods industry, Miscellaneous (BCM); and Agriculture, Trade, and Investment (AT). Results of the study also showed that the companies, on the average, had implemented good corporate governance. It could be seen from the percentage of the independent commissioner involvement, which exceeded the minimum requirement of 30 percent as stated in its regulation. Among the groups, IMP had the highest average of leverage, operational risk, and size, but contrastively it had the lowest average of profitability. The results of this study can be used by the government to further improve the control of corruption in order to prevent companies from experiencing financial distress. Meanwhile, companies should not also do something encouraging bureaucrats to corrupt.

JEL Classification: G33, G34



: Corporate Governance; Financial Distress; Financial Performance; Survival Analysis

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Abdullah, S. N. (2006). Board structure and ownership in Malaysia: The case of distresses listed companies. Corporate Governance, 6(5), 582-594.

Ahmad, G. N. (2013). Analysis of financial distress in Indonesian Stock Exchange. Review of Integrative Business & Economics Research, 2(2), 521-533.

Antikasari, T. W., & Djuminah. (2017). Memprediksi financial distress dengan binary logit regression perusahaan telekomunikasi. Jurnal Keuangan dan Perbankan, 21(2), 265–275.

Altman, E. I. (1968). Financial ratios, discriminant analysis, and the prediction of corporate bankruptcy. Journal of Finance, 23(4), 589-609.

Andrade, E. I., & Kaplan, S. (1998). How costly is financial (not economic) distress? Evidence from highly leveraged transactions that became distress. The Journal of Finance, 53(5), 1143-1493.

Ball, R., Foster, G., Gonedes, N. J., & Jensen, M. C. (1982). Corporate financial reporting: A methodological review of empirical research/discussion/reply. Journal of Accounting Research, 20, 161-248.

Beaver, W. H. (1966). Financial ratio as predictor of failure, empirical research in accounting: Selected studies. Journal of Accounting Research, 5, 71-111.

Becht, M., Bolton, P., & Roell, A. A. (2002). Corporate governance and control. Finance working paper, 2.

Bhattacharjee, A., & Han, J. (2014). Financial distress of Chinese firms: Microeconomic, macroeconomic, and institutional influences. China Economic Review, 30, 244-262.

Bhattacharjee, A., Higgson, C., Holly, S., & Kattuman, P. (2004). Macroeconomic condition and business exit: Determinant of failure and acquisition of UK firms. Working Paper.

Cashman, G. D., Harrison, D. M., & Sheng, H. (2014). Political risk and the cost of capital in Asia-Pacific property markets. Working Paper.

Chancharat, N. (2008). An empirical analysis of financially distress Australian companies: The application of survival analysis. Thesis. School of Accounting and Finance University of Wollongong.

Claessens, S., & Yurtoglu, B. B. (2013). Corporate governance in emerging markets: A survey. Emerging Markets Review, 15, 1–33.

Donato, F., & Nieddu, L. (2014). A quantitative analysis of trigger factors influencing companies failure in Italy. European Scientific Journal, 10(10), 1-16.

Elloumi, F., & Gueyie, J. P. (2001). Financial distress and corporate governance: An empirical analysis. Corporate Governance, 1(1), 15-23.

Fich, E., & Slezak, S. (2008). Can corporate governance save distressed firms from bankruptcy? An empirical analysis. Review of Quantitative Finance & Accounting, 30(2), 225–251.

Fisher, C. D. (1993). Boredom at work: A neglected concept. Human Relations, 46, 395-417.

General Guidelines of Good Corporate Governance. (2006). Indonesia the national committee on governance. Retrieved from June 12th, 2017

Gepp, A. & Kumar, K. (2008). The role of survival analysis in financial distress prediction. International Research Journal of Finance and Economics, 16, 13-34.

Glaeser, E. L. (2012). The political risk of fighting market failure: Subversion, populism, and the government sponsored enterprises. Working Paper.

Haendel, D. (1979). Foreign investments and the management of political risk. Westview Special Studies in International Economics and Business.

ICRG. (2016).

Keputusan Menteri Badan Usaha Milik Negara No: KEP-117/MMBU/2002 Tentang Penerapan Praktek Good Corporate Governance pada Badan Usaha Milik Negara (BUMN)

Kleinbaum, D. G. & Klein, M. (2012). Survival analysis: A self-learning text. Third Edition. New York: Springer.

Kristanti, F. T. (2014). Prediksi kebangkrutan bank-bank yang terdaftar di Bursa Efek Indonesia. Jurnal Keuangan dan Perbankan, 18(1), 130-138.

Kristanti, F. T. (2015). The test of gender diversity and financial structure to the cost of financial distress: Evidence from Indonesian family business. Proceeding GTAR-2015, 2, 554-565.

Kristanti, F. T., & Effendy, N. (2017). A survival analysis of Indonesian distressed company using Cox hazard model. Int. Journal of Economics and Management, 11(S1), 155–167.

Kristanti, F. T., & Herwany, A. (2017). Corporate governance, financial ratios, political risk, and financial distress: A survival analysis. Accounting and Finance Review, 2(2), 26–34.

Kristanti, F. T., Effendi, N., Herwany, A., & Febrian, E. (2016). Does corporate governance affect the financial distress of Indonesian company? A survival analysis using Cox hazard model with time-dependent covariates. Advanced Science Letters, 22(12), 4326-4329.

Laitinen, E. K. (2005). Survival analysis and financial distress prediction: Finish evidence. Review of Accounting & Finance, 4(4), 76-90.

LeClere, M. J. (2000). The occurrence and timing of events: Survival analysis applied to the study of financial distress. Journal of Accounting Literature, 19, 158-189.

LeClere, M. J. (2005). Time-dependent and time-invariant covariates within proportional hazard models: A financial distress applications. Review of Accounting and Finance, 4(4), 91-109.

Ohlson, H. (1980). Financial ratios and the probabilistic prediction of bankruptcy. Journal of Accounting Research, 18(1), 109-130.

Opler, T. C., & Titman, S. (1994). Financial distress and corporate performance. The Journal of Finance, 49(3), 1015-1040.

Nikitin, G. (2003). Plant failure and survival in the Indonesian financial distress. Working Paper.

Parker, S., Peters, G. F., & Turetsky, H. (2011). Corporate governance and corporate failure: A survival analysis. Corporate Governance, 2(2), 4-12.

Platt, H. D., & Platt, M. B. (2002). Predicting corporate financial distress: Reflections on choice-based sample bias. Journal Economics and Finance, 26(2), 184-199.

Polsiri, P., & Sookhanaphibarn, K. (2009). Corporate distress prediction models using governance and financial variables: Evidence from Thai Listed firms during the East Asian economic crisis. Journal of Economics and Management, 5(2), 273-304.

Pujiastuti, T., & Yuharningsih. (2014). Anteseden probabilitas financial distress pada perusahaan manufaktur di Indonesia. Jurnal Keuangan dan Perbankan, 18, 1–13.

Sandstrom, A. (2008). Political risk in credit evaluation-empirical studies and survey results. Dissertation. Swedish Scholl of Economic and Business Administration Helsinki.

Shumway, T. (2001). Forecasting bankruptcy more accurately: A simple hazard model. The Journal of Business, 74(1), 101-124.

Tinoco, M. H., & Wilson, N. (2013). Financial distress and bankruptcy prediction among listed companies using accounting, market, and macroeconomic variables. International Review of Financial Analysis, 30, 394-419.

Turetsky, S., & McEwen, R. A. (2001). An empirical investigation of firm longevity: A model of the ex-ante predictors of financial distress. Review of Quantitative Finance and Accounting, 16(4), 323-343.

Van-Wyk, J., Dahmer, W., & Custy, M. C. (2004). Risk management and the business environment in South Africa. Long Range Planning, 37, 259-276.

Voelker, C., Permana, A., Sachs, T., & Tiong, R. (2008). Political risk perception in Indonesian power projects. Journal of Financial Management of Property and Construction, 13(1), 18-34.

Whitaker, R. B. (1999). The early stages of financial distress. Journal of Economics and Finance, 23(2), 123-133.

Wruck, K. H. (1990). Financial distress, reorganization, and organizational efficiency. Journal of Financial Economics, 27, 419-444.

Xia-Li, H., Jun-Wang, Z., & Ian-Deng, X. (2008). Ownership, independent directors, agency cost, and financial distress: Evidence from Chinese listed companies. Corporate Governance, 8(5), 622-636.

Zhou, Y., Kim, M. H., & Ma, S. (2012). Survive or doe? An empirical study on Chinese ST firms. Research Online. University of Wollongong Australia.



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