Analysis of Financial Ratios for Predicting Bankruptcy in SMEs Listed on PEFINDO25

Vitalia Fina Carla Rettobjaan(1*),

(1) 
(*) Corresponding Author

Abstract


This study aims to analyze the Financial Ratio for Predicting Bankruptcy. The sample used in this study are SMEs according PEFINDO25 period 2013 to 2017. The independent variables in this study is liquidity, profitability, debt structure, solvency and activity ratio; and control variables is size and age, as well as the dependent variable is bankruptcy. The amount of sample in this study 32 companies PEFINDO25 by using purposive sampling. The method of data analysis is done by using logistic regression with SPSS version 23. The result of this research showed that liquidity, profitability and age has significant negative effect on bankruptcy. Debt structure has significant positive effect on bankruptcy. While solvency, activity ratio and size does not significantly effect on bankruptcy

Keywords


Activity ratio, Bankruptcy, Debt structure, Liquidity, Profitability and Solvency

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References


Abdullah, M., (2015). Empirical analysis of liquidity, profitability and solvency of Bangladesh banks. Journal of Business and Financial Affairs, ISSN: 2167-0243, Vol. 4, No.3, pp. 1-12.

Abdullah, T, M, C and Zolkafli, H., (2010). Predicting Corporate Turnaround Using Logistic Regression Analysis: A Research On Bursa Malaysia Companies. Journal of Management and Bussiness, Vol. 9, No. 2, pp. 214-226

Altman, E. I. (1968). Financial ratios, Discriminants analysis and the Prediction of Corporate bankruptcy. Journal of Finance, Vol. 23, No. 4, pp. 589-609.

Aruldoss, M., Travis, M., L and Venkatesan, P., (2015). A Reference model for business intelligence to predict bankruptcy. Journal of Enterpise Infomation Management, Vol. 28, No. 2, pp. 186-217.

Aziz, M., and Dar, H.A., (2006). Predicting coporate bankruptcy: where we stand? Corporate governance. Emerald Group Publishing Limited, Vol. 6, No. 1, pp. 18-33

Aziz, I. J., (2008). Predicting a recovery date from the economic crisis of 2008. Socio-Economic Planing Service, Vol.44, pp. 122-129.

Bellovary, J., Giacomino, D and Akers, M., (2017). A review of bankruptcy prediction studies: 1930 to-present. Jouernal of Financial Education, Vol. 33, pp. 1-42.

Bottazzi, G., Secchi, A and Federico, T., (2008). Productivity, profitability, and financial performance. Industrial and Corporate Change, Vol. 17, No. 4, pp. 711-751.

Brindescu, D and Olariu., (2016). Profitability ratio as a tool for bankruptcy prediction. Practical Application of Science, Vol. 4, No. 2.

Brindescu, D and Olariu., (2016). Solvency ratio as a tool for bankruptcy prediction. International Journal of Business and Management, Vol. 5, No. 9.

Cultrera, L., Croquet, M. and Jospin, J., (2017). Predicting bankruptcy of Belgian SMEs : A Hhybrid approach based on factorial analysis. International Research, ISSN: 1913-9012, Vol. 10, No. 3, pp. 33-41.

Cultrera, L.and Bredart, X., (2016). Bankruptcy Prediction: The case of Belgian SMEs. Review of Accounting and Finance, Vol. 14, No. 1, pp. 101-119.

Coad, A.; A. Segarrab; and M. Teruelb (2012). Like Milk or Wine: Does Firm Performance Improve with Age. Structural Change and Economic Dynamics, No. 17, pp. 1-17.

Gitman, L.J. and C. J. Zutter (2015). Principles of Managerial Finance. Fourteenth Edition. ISBN-10:0-13-350769-6, ISBN-13: 978-0-13-350769-0. United States: Prentice Hall

Islam, M. S., Semeen, H and Farah, N., (2013). The effect of financial ratios on bankruptcy, Independent Business Review, Vol. 6, No. 2, pp. 52-67.

Jawabreh, O. A. A., Al-rawashdeh, F and Senjelawi, O., (2017). Using Altman’s Z-Score model to predict the financial failure of hospitality companies-case of Jordan. International Journal of Information, Business and Management, ISSN: 2076-9202, Vol. 9, No. 2, pp. 141-157.

Kabajeh, M. A. M., Nu’aiamat, S. M. A and Dahmash, F. N., (2012). The relationship between the ROA, ROE, and ROI rations with Jordanian Insurance Public Companies market share prices. International Journal of Humanities and Social Science, Vol. 2, No.12, pp. 115-120.

Kathuri, Purity Reen (2014). The Effect of Size, Age, and Growth on The Profitability of Saving and Credit Cooperate Societies in Nairobi Country. Finance and Accounting, pp. 1-56.

Khan, R. A and Ali, M., (2016). Impact of Liquidity on profitability of commercial bank Pakistan an analysis on banking sector in Pakistan, Global Journal of Management and Business Recearch C Finance, ISSN: 2249-4588, Vol. 16, No.1, pp. 53-59.

Kritiyanti, Mariana (2012). Peranan Strategis Usaha Kecil Menengah (UKM) Dalam Pembangunan Nasional. Majalah Ilmiah Informatika, Vol. 3, No. 1, pp. 63- 89.

Lukason, O.,Laitinen, E. K and Suvas, A., (2016). Failure processes of young manufacturing micro fims in Europe, Management Desicion, Vol. 5, No. 8: pp. 1966-1985.

Lukason, O and Hoffman, R. C., (2014). Firm Bankruptcy Probability and Causes: An Integrated Study. International Journal of Business and Management, Vol. 9, No. 11, pp. 80-91.

Moro, A., Lucas, M., Grassi, E and Bazzanela, C., (2009). The short term debt vs long term debt puzzle: a model for thes optimal mix. Conference on Performance Measurement and Management Control, Vol. 5

Muhammad, H., Shah, B., Islam, Z., Waqas, M and Khan, D., (2013). Comparative evaluation of financial performance of Pakistan Tobacco Company (PTC) and Philip Morris Pakistan Limited (PMPKL) through ratio analysis, international Kontrol of Management Sciences and Business Research, ISSN: 2226-8235, Vol. 3, No.1.

Nouri, B. A and Soltani, M., (2017). Designing a bankruptcy prediction model based on account, maket and macroeconomic variables (case study: Cyrus Stock Exchange). Iranian Journal of Management Studies, ISSN: 2345-3745, Vol. 9, No. 1, pp. 125-147.

Odibi, L.,Basit, A and Hassan , Z., (2016). Bankruptcy prediction using Almant Z-Score model : a case of public listed manufacturing companies in Malaysia. International Journal of Accounting and Business Management, ISSN: 2289-4519, Vol. 3, No. 2, pp. 178-186.

Ohman, P and Yazdanfar, D., (2016). Short-and long-term debt determinants in Swedish SMEs. Review of Accounting and Finance, Vol. 16, No. 1, pp. 106-124

Ohlson, J. (1980). Financial Ratios and Ratios and the probabilistic Prediction of Bankruptcy. Journal of Accounting Research, Vol.18, pp. 109-131.

Ross, S. A., Westerfield, R. A., Jaffe, J., Lim, J., Tan, R and Wong, H., (2015), Corporate Finance, Asia Global Edition, ISBN 978-1-25901183-2, McGraw-Hill Education (Asia).

Shezad, A., Jan, F. A., Gulzar, S and Ansari, M. A., (2014). A study on co-integration of Pakistani stock market with selected Asian stock markets. Journal of Management Info, Vol. 4, No. 1, pp. 52-74.

Singh, S., (2017). Ratio analysis in manufacturing sector a study. International Journal of Innovative Research in Engineering and Management, ISSN: 2350-0557, Vol. 4, No. 4.

Situm, Mario (2014). The age and size of the firm as relevant predictors for bankruptcy. Journal of Applied Economics and Business, Vol. 2, No. 2, pp. 5-30.

Tinoco, H. M., and Wilson, N., (2013). Financial distress and bankruptcy prediction among, listed companies using accounting, market and macroeconomics variables. International Review of Financial Analysis.

Tugas, F. C., (2012). A comparative analysis of the financial ratios of listed firm belonging to the education subsector in the Philippines for the years 2009-2011. International Business and Sosial Science. Vol. 3, No. 21, pp.

-190.

Tulsian, M., (2014). Profitabily analysis (a comparative study of SAIL and TATA steel. IOSR Journal of Economics and Finance, ISSN: 2321-5925, Vol. 3, No. 2, pp. 19-22.

Van Caillie, D and Dighaye, A., (2002), Business bankruptcy research a state of its situation and future prospects. Communication proposed at the XIth Internationa Conference on Strategic Management, Paris - ESCP-EAP, Vol. 28.

Veronica, M. S. dan S. Anantadjaya (2014). Bankruptcy prediction model: An industrial study in Indonesian publicly-listed firms during 1999-2010, Society of Inter discliplinary Business Research & University Kuala Lumpur Business School, ISSN: 2223-5078, KLI4 Vol. 21.

Yazdanfar, D., (2011), Predicting bankruptcy among SMES: evidence from Swedish firm-level data. International J Entepreneurship and Small Business, Vol. 14, No. 4, pp. 551-564




DOI: https://doi.org/10.24123/jmb.v19i2.466

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This work is licensed under a Creative Commons Attribution 4.0 International License. ISSN: 1412-3789. e-ISSN: 2477-1783.

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