How long are The Survival Time in the Industrial Sector of Indonesian Companies?

  • Authors

    • Farida Titik Kristanti
    • Deannes Isynuwardhana
    2018-12-03
    https://doi.org/10.14419/ijet.v7i4.38.27560
  • Survival, Industry Sector, Hazard
  • Cox Hazard model with time independent covariates is used to view the functions of survival and hazard for each group of industrial sector of companies listed on the Indonesia Stock Exchange. The hazard explains whether events of financial distress will occur in companies that have survived for a certain period. The survival function shows the relationship between probabilities to survive and time, in which time indicates the duration of an event (financial distress). The results of statistical analysis show that the survival time for each industrial group varies from 10.5 to 12.5 years. The results can be used as a basic idea for companies to determine when the preventive actions should be conducted so that companies will sustain their business.

     

     

  • References

    1. [1] Allison, P.D., “Survival Analysis Using the SAS System,†SAS Institute, Cary, NC., 1995.

      [2] Altman. E.I. 1984. A further empirical investigation of the bankruptcy cost question, Journal of Finance, 39(4), 1984, pp.1067-1089.

      [3] Altman. E.I., “Financial Ratios, discriminant analysis and the prediction of corporate bankruptcy,†Journal of Finance, 23(4), 1968, pp.589-609.

      [4] Andrade. E. I., & S. Kaplan, “How costly is financial (not economic) Distress? Evidence from Highly Leveraged Transactions that became distress,†The Journal of Finance, 53 (5), 1968, pp.1143-1493.

      [5] Argenti. J., “Corporate Collapse the causes and symptoms,†McGraw Hill, London. 1976.

      [6] Beaver, W.H., “Financial Ratio as Predictor of Failure, Empirical Research in accounting: Selected Studies,†Journal of Accounting Research, 5,1966. Pp.71-111.

      [7] Bhattacharjee, A. & J. Han, “Financial distress of Chinese firms: Microeconomic, macroeconomic and institutional influences. China Economic Review, 30, 2014, pp.244-262. DOI: 10.1016/j.chieco.2014.07.007

      [8] Bhattacharjee, A., C. Higgson, S. Holly, & P. Kattuman, “Macroeconomic condition and business exit: Determinant of failure and acquisition of UK firms,†Working Paper, University of Cambridge, Cambridge, UK. 2004.

      [9] Chancharat, Nongnit., “An empirical analysis of financially distress Australian companies: the application of survival analysis,†PhD Thesis, School of accounting and Finance, University of Wollongong. 2008. http://ro.uow.edu.au/thesis/401, Accesed at November, 2013.

      [10] Chen, K.C.W., & C.W.J Lee, “Financial Ratio and corporate endurance: A case of the gas and oil industry,†Contemporary Accounting Research, 9(2), 1993, pp.667-694.

      [11] Crapp, H.R. & M. Stevenson, M, “Development of a method to assess the relevant variables and the probability of financial distress,†Australian Journal of Management, 12(2), 1987, pp.221-236.

      [12] Donato, Francesca & Luciano Nieddu, â€A quantitative analysis of trigger factors influencing companies failure in Italy,†European Scientific Journal, April, Vol 10, No. 10. 2014. Pp.1-16.

      [13] Gepp, Adrian & Kuldep Kumar, “The role of survival analysis in financial distress prediction,†International Research Journal of Finance and Economics, Issues 16, 2008, pp.13-34.

      [14] Henebry, Kathleen L., “A test of the Temporal Stability of Proportional Hazards Models for predicting Bank failure,†Journal of Financial and Strategic Decisions. Volume 10 Number 3, 1997, pp.1-11.

      [15] Kauffman, R. & B. Wang, “Duration of the digital economy: Empirical bases for the survival of internet firms,†36th International Conference on system Science, Hawaii. 2003.

      [16] Kleinbaum, David G., & Mitchel Klein., “Survival Analysis, A Self-Learning Text,†Springer, Third Edition. 2012.

      [17] Kristanti, F.T. & N. Effendy, “A Survival Analysis of Indonesian Distressed Company Using Cox Hazard Model,†Int. Journal of Economics and Management. 11 (S1), 2017, pp.157 – 169.

      [18] Kristanti, F.T. & Aldri Herwany, “Corporate Governance, Financial Ratios, Political Risk and Financial Distress: A Survival Analysis,†Acc. Fin. Review. 2 (2), 2017, pp.26 – 34.

      [19] Kristanti, Farida Titik, Nurry Effendi, Aldrin Herwany, & Erie Febrian,†Advanced Science Letters, Vol 22, Number 12, December 2016, pp. 4326-4329(4).

      [20] Laitinen. Erkki K., “Survival analysis and financial distress prediction,: Finish evidence,†Review of Accounting & Finance, 4(4), 2005, pp.76-90.

      [21] Lane, W.R., S.W. Looney & J.W. Wansley, “An application of the cox proportional hazards model to bank failure,†Journal of Banking and Finance, 10(4), 1986, pp.511-531.

      [22] LeClere, M.J., “The occurrence and timing of events, Survival analysis applied to the study of financial distress,†Journal of Accounting Literatur, 19, 2000, pp.158-189.

      [23] LeClere, M.J., “Time-dependent and time-invariant covariates within a proportional hazard models: A Financial distress applications,†Review of Accounting and Finance, 4(4), 2005, pp.91-109.

      [24] Louma, M. & E.K.Laitinen, “Survival analysis as atool for company failure prediction,†Omega, The International Journal of Management Science. 19(6), 1991. 673-678.

      [25] Parker, Susan., Peters Gary F. & Howard Turetsky, “Corporate Governance and corporate failure: a survival analysis,†Corporate Governance, 2(2), 2011, pp.4-12.

      [26] Shumway, T., “Forecasting Bankruptcy More Accurately: A Simple Hazard Model,†The Journal of Business, 74(1), 2001, pp.101-124.

      [27] Turetsky, S. & R.A. McEwen, “An empirical investigations of firm longevity: A model of the exante predictors of financial distress,†Review of Quantitative Finance and Accounting, 16(4), 2001. pp

      [28] Wheelock, D.C. & P.W. Wilson, “Why do banks disappear? The determinants of US bank failure and acquicitions,†Review of Economics and Statistics, 77(4), 2000, pp.689-700.

      [29] Zmijewsky, M.E., “Methodological issues related to the estimation of financial distress prediction models,†Journal of Accounting Research, Supplement to Vol. 22, 1984, pp.59-82.

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    Titik Kristanti, F., & Isynuwardhana, D. (2018). How long are The Survival Time in the Industrial Sector of Indonesian Companies?. International Journal of Engineering & Technology, 7(4.38), 856-860. https://doi.org/10.14419/ijet.v7i4.38.27560