FINANCIAL DISTRESS PREDICTION OF FINANCIAL SECTOR SERVICE COMPANIES ON INDONESIAN STOCK EXCHANGE USING COX PROPORTIONAL HAZARD

  • Candra Yanuar Dwi Putra Jember University
  • Mohamat Fatekurohman
  • Dian Anggraeni
DOI: https://doi.org/10.30598/barekengvol16iss3pp1105-1114
Keywords: financial distress, analisis survival, cox proportional hazard

Abstract

A company that cannot compete with its competitors is likely to experience financial difficulties or commonly referred to as financial distress. Financial distress is a stage of a decline in the company's financial condition or a situation of financial difficulty that occurred before the company went bankrupt. This study aims to determine the factors that can predict a company experiencing financial distress. The factors suspected in this study include leverage, profitability, company size, free cash flow and sales growth. The method used is the Cox Proportional Hazard model. The research data is data on financial sector service companies listed on the Indonesia Stock Exchange (IDX) for 5 years of observation, namely from 2016 to 2020. Based on the results of the analysis of financial distress predictions using the Cox Proportional Hazard model, it is found that the factors that have a significant effect on predicting companies experiencing financial distress are: financial distress, namely profitability and company size.

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References

Antika, D. P., Fatekurohman, M., & Anggraeni, D. (2018). Analisis Hubungan Antara Financial Distress dan Keputusan Kebijakan Dividen Omisi Perusahaan Manufaktur. Limits: Journal of Mathematics and Its Applications, 15(1), 41. https://doi.org/10.12962/limits.v15i1.3390

Djalil, T. K. 2015. Analisis Financial Disstres Pada Perusahaan Manufaktur Sektor Industri Dasar Dan Kimia Sub Sektor Keramik, Porselen, Dan Kaca Periode 2009-2013 Dengan Pendekatan Altman ZScore Untuk Memprediksi Potensi Terjadinya Kebangkrutan. Skripsi. Jurusan Manajemen Fakultas Ekonomi Dan Bisnis Universitas Hasanuddin Makassar.

Chenchehene, Joseph; Kingsford Mensah. 2014. Corporate Survival: Analysis of Financial Distress and Corporate Turnaround of the UK Retail Industry. International Journal of Liberal Arts and Social Science.Vol. 2 No. 9.ISSN: 2307-924X.

Fahmi, I. 2014. Pengantar Manajemen Keuangan. Bandung: Alfabeta.

Fahmi, I. 2016. Manajemen Sumber Daya Manusia Teori dan Aplikasi. Bandung: Alfabeta.

Harlan, J. 2017. Analisis Survival. Jakarta: Gunadarma.

Kasmir. 2014. Analisis Laporan Keuangan. Jakarta: PT. Rajawali.

Kleinbaum, D. G., dan M. Klein. 2012. Survival Analysis a Self-Learning Text Third Edition. New York: Spinger.

Kristanti, F. T., Rahayu, S., & Huda, A. N. 2016. Determinant Of Financial Distress On Indonesian Family Firm 3rd Global Conference (pp. 440-447). Kuala Lumpur, Malaysia: Procedia.

Prabawati, S., Novia Nasution, Y., & Wahyuningsih, D. S. 2018. Analisis Survival Data Kejadian Bersama Dengan Pendekatan Efron Partial Likelihood (Studi Kasus: Lama Masa Studi Mahasiswa Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Mulawarman Angkatan 2011). Jurnal Eksponensial, 9(1).

Pranita, K. R., & Kristanti, F. T. (2020). Analisis Financial Distress Menggunakan Analisis Survival. Paper Knowledge . Toward a Media History of Documents, 9(2), 12–26.

Rahayu, W. P., & Sopian, D. 2017. Pengaruh Rasio Keuangan dan Ukuran Perusahaan Terhadap Financial Distress (Studi Empiris Pada Perusahaan Food and Beverage di Bursa Efek Indonesia). Competitive, 33(2).

Rimawati, I., & Darsono. 2017. Pengaruh Tata Kelola Perusahaan, Biaya Agensi Manajerial, Dan Leverage Terhadap Financial DIstress. Diponegoro Journal Of Accounting, 6(3), 2337-3806.

Tyaga, M. S., & Kristanti, F. T. (2020). Analisis Survival Dalam Memprediksi Kondisi Financial Distress. Buletin Studi Ekonomi, 25(1), 112. https://doi.org/10.24843/bse.2020.v25.i01.p07

Yudiawati, R. & Indriani, A. 2016. Analisis Pengaruh Current Ratio, Debt To Total Asset Ratio, Total Asset Turnover, Dan Sales Growth Ratio Terhadap Kondisi Financial Distress Pada Perusahaan Manufaktur. Diponegoro Journal Of Management, 5(2).

Published
2022-09-01
How to Cite
[1]
C. Dwi Putra, M. Fatekurohman, and D. Anggraeni, “FINANCIAL DISTRESS PREDICTION OF FINANCIAL SECTOR SERVICE COMPANIES ON INDONESIAN STOCK EXCHANGE USING COX PROPORTIONAL HAZARD”, BAREKENG: J. Math. & App., vol. 16, no. 3, pp. 1105-1114, Sep. 2022.
Issue
Vol 16 No 3 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Section
Articles

Copyright (c) 2022 Candra Yanuar Dwi Putra, Mohamat Fatekurohman, Dian Anggraeni

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