ANTESEDEN PROBABILITAS FINANCIAL DISTRESS PADA PERUSAHAAN MANUFAKTUR DI INDONESIA

Triani Pujiastuti, Yuharningsih Yuharningsih

Abstract


Based on theory and previous research, some factors which influenced probability of corporate financialdistress were found. This research was done for testing the consistency of research result with different researchperiod that would strengthen the related empirical research finding. The purpose of this research was to test theimpact of profitability ratio (Return on Assets), working capital policy, capital structure, size, current ratioand firm age toward the probability of financial distress of manufacturing firms at Indonesian Stock Exchange.The method used in this research was purposive sampling, which was taking data with certain criteria.The criteria was that the companies or firms used were those which issued bond and were listed in IndonesianStock Exchange between 2007 until 2012 and had data completion needed in this research. The research resultsusing Logistic Regression were 1) test of profitability ratio, working capital policy ratio, capital structure, size,and firm age had significant influence to the probability of financial distress manufacturing firms in Indonesia,2) partially only profitability ratio that had negative significant influence to the probability of financialdistress manufacturing firms in Indonesia while working capital ratio, capital structure, size, and age firm didnot have significant influence to financial distress manufacturing firms in Indonesia. This research producedprediction model of financial distress.

Keywords


capital structure, financial distress, firm age, firm size, profitability ratio, working capital

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References


Adiana, N.H.A., Halim, A., Ahmad, H., & Rohani, M.R. 2008. Predicting Corporate Failure of Malaysia’s Listed Companies: Comparing Multiple Discriminant Analysis, Logistic Regression, and the Hazard Model. International Research Journal of Finance and Economics, (5): 202–217.

Almilia, L.A. 2003. Financial Ratios Analysis to Predict Financial Distress Condition in Manufacture Companies Which are Listed on Jakarta Stock Exchange. Journal of STIE Perbanas Surabaya.

Almilia, L.S. 2006. Prediksi Kondisi Financial Distress Perusahaan Go-Publik dengan Menggunakan Analisis Multinomial Logit. Jurnal Ekonomi dan Bisnis, XII(1) Maret.

Almilia, L.S. & Devi, V. 2007. Faktor Faktor yang Memengaruhi Prediksi Peringkat Obligasi pada Perusahaan Manufaktur yang Terdaftar di Bursa Efek Jakarta. Proceeding Semnas Universitas Kristen Maranata Bandung.

Almeida, H. & Philippon, T. 2000. The Risk-Adjusted Cost of Financial Distress. The Stern School of Business New York University, 62(6): 2557-2586.

Andrade & Kaplan. 1998. How Costly is Financial (Not Economic) Distress? Evidence from Highly Leveraged Transactions that Became Distressed. Journal of Finance, 53: 1443-1493.

Arun, U. 2012. Forecasting Stock Performance in Indian Market Using Multinomial Logistic Regression. Journal of Business Studies, 3(3): 16-39.

Brahmana. 2004. Identifying Financial Distress Condition in Indonesia Manufacture Industry. Journal of Birmingham Business School University of Birmingham United Kingdom.

Brigham, E.F. & Houston, J.F. 2006. Fundamentals of Financial of Management. 10th Edition. South Western: Thomson.

Chiang, H. & Ansell, J. 2005. Developing Financial Distress Prediction Models. Journal of Management School and Economics University of Edinburgh.

Fitzpatrick. 2004. An Empirical Investigation of Dynamics of Financial Distress. Dissertation. Faculty of the Graduate School of the State University of New York.

Gepp, A. & Kumar, K. 2008. The Role of Survival Analysis in Financial Distress. International Research Journal of Finance and Economics, 16.

Gujarati. 2003. Basic Econometrics. Fourth Edition. USA: McGraw Hill.

Gozali. 2012. Aplikasi Analisis Multivariate Program IBM SPSS 20. Edisi 6. Semarang: Badan Penerbit Universitas Diponegoro.

Hanafi, M.M. 2004. Manajemen Keuangan. Edisi 1. Yogyakarta: BPFE.

Janes, T.D. 2003. Accrual, Financial Distress, and Debt Covenants. Dissertation. University of Michigan Business School.

Jiming, L. & Weiwei, D. 2011. An Empirical Study on the Corporate Financial Distress Prediction Based on Logistic Model: Evidence from China’s Manufacturing Industry. International Journal of Digital Content Technology and its Applications, 5(6).

Pranowo, K., Achsani, A.N., Manurung, A.H., & Nuyartono, N. 2010. Determinant of Corporate Financial Distress in an Emerging Market Economy: Empirical Evidence from the Indonesian Stock Exchange 2004-2008. International Research Journal of Finance and Economics, 15(52).

Rahmad, S. 2008. Faktor-Faktor yang Memengaruhi Financial Distress. Jurnal Karisma, 2(2).

Zulkarnain. 2006. Prediction of Corporate Financial Distress: Evidence from Malaysian Listed Firms During the Asian Financial Crisis. Journal of Faculty of Economics and Management University Putra Malaysia.




DOI: https://doi.org/10.26905/jkdp.v18i1.767

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Jurnal Keuangan dan Perbankan (Journal of Finance and Banking)

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