Early Warning System Kerentanan Keuangan Asuransi Syariah di Indonesia

Authors

  • Adi Kurnia Hidayat Tazkia
  • Achmad Firdaus Institut Agama Islam Tazkia
  • Indra - Institut Agama Islam Tazkia

DOI:

https://doi.org/10.30631/ijoieb.v9i2.2066

Keywords:

Early Warning System (EWS), Altman Z-Score, Fulmer model, Principal Componen Analysis (PCA) , Sharia Insurance

Abstract

This study aims as a first step in determining the financial health of the company using the Early Warning System (EWS) financial ratios and early corporate bankruptcy. This research aims to analyze the Altman Z-Score and Fulmer Model models which will be used as an Early Warning System (EWS) for sharia insurance vulnerabilities in Indonesia. The Altman Z-Score and Fulmer Model methods use data obtained from financial reports and processed as a measure of financial health. The ratio that influences the financial vulnerability of sharia insurance in Indonesia using the Altman method which has been modified using PCA is the ratio of retained earnings/total assets (X2) and income before tax/total assets (X3). Meanwhile, the influential ratios from the Fulmer method modified using PCA found 3 ratios that influenced the financial vulnerability of sharia insurance in Indonesia, namely Retained Earning/Total Assets (V1), EBT/Equity (V3) and Cash Flow/Total Debt (V4).

References

Adeyeye, P. O., Fajembola, O. D., Olopete, M. O., & B, A. D. (2012). Predicting Bank Failure in Nigeria using Principal Component Analysis and D-Score Model. Journal of Finance and Accounting, 8.

Al-Dalaien, B. O., & Alhroob, M. N. (2017). Financial performance analysis of Jordanian insurance companies using the Altman z-score model. International Journal of Academic Research and Development, 24-29.

Altman, E. I. (1968). FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY. The Journal of FINANCE, VOl. XXIII No4.

Biro Riset LMFEUI, 2008, Industri Asuransi Indonesia Dan Posisi BUMN Asuransi, Lembaga Manajemen FEUI, Jakarta

Detiana, T. (2012). PENGARUH FINANCIAL EARLY WARNING SIGNALTERHADAP PERUBAHAN HARGA SAHAM PADA PERUSAHAAN ASURANSI YANG TERDAFTAR DI BURSA EFEK INDONESIA. JURNAL BISNIS DAN AKUNTANSI, 239-245.

Dunteman, G. H. (1989). Principal Componen Analysis. London, New Delhi: Sage Publication.

Fauzan, F., Nadirsyah, & Arfan, M. (2012). PENGARUH STRUKTUR KEPEMILIKAN DAN KINERJA KEUANGAN EARLY WARNING SYSTEM TERHADAP NILAI PERUSAHAAN (STUDI PADA PERUSAHAAN ASURANSI YANG TERDAFTAR DI BURSA EFEK INDONESIA). Jurnal Akuntansi Pascasarjana Universitas Syiah Kuala, 64-75.

Fayakhun Bakhtiar, M. M. (2018). Deteksi Kebangkrutan pada Industri Asuransi Syariah di Indonesia. Journal of Islamic Economics, Finance and Banking Vol 1 No 1&2.

Ghoni, E. A. (2007). akuntasi asuransi syariah antara teori dan praktek. Jakarta: INSCO Consulting.

Ilmaniati, A., & Putro, B. E. (2018). Analisis Komponen Utama Faktor-Faktor Pendahulu Berbagai Pengetahuan Pada Usaha Mikro, Kecil dan Menengah (UMKM) di Indonesia. Jurnal Teknologi Universitas Muhammadiyah Jakarta, Volume 11 No1.

Hafid, Ibrahim. 2010. Aliran Diskriasi dan Peran Strategis Investasi Modal dalam Pemulihan Ekonomi Nasional. Jurnal Ekonomi dan Manajemen (6/2) 233-241

Jung, H., & Jeong, H. Y. (2011). Early Warning Systems in the Republic of Korea: Experiences, Lessons, and Future Steps. ADB Working Paper Series on Regional Economic Integration, 77.

Karim Consulting Indonesia. (2020, Januari). Retrieved from karimconsulting.com

Kibuchi, Edward. (2018). Impact of financial distress on financial performance in the insuranc industri in kenya.

Lukman, M., & Ahmar, N. (2015). MODEL PREDIKSI KEBANGKRUTAN FULLMER H-SCORE DAN SPRINGATE: MANA YANG LEBIH KUAT? Seminar Nasional Cendekiawan, ISSN: 2460-8696 .

Mitchell, T. (2015). Bank Default Prediction: A Comparative Model using Principal Component Analysis. Journal of Stock & Forex Trading, 4:2.

Munawarah., Wijaya, A., Fransisca, C., & Felicia (2019) . Ketepatan Altman, Zmijewski, dan Fulmer Menentukan Financial Distress pada Perusahaan Trade and Service. Owner Riset & Jurnal Akuntansi, Vol 3 No 2.

Nugroho, R. E., & Parwito. (2018). Analyzing The Potential Bankruptcy of Sharia Life Insurance Companies In Indonesia. International Journal of New Technology and Research, 4(10), 54–61. https://doi.org/10.31871/ijntr.4.10.36

Nustini, Y., & Amiruddin, A. R. (2019). Altman model for measuring financial distress: Comparative analysis between sharia and conventional insurance companies. Journal of Contemporary Accounting, 1(3), 161–172. https://doi.org/10.20885/jca.vol1.iss3.art4

Otoritas Jasa Keuangan. (2022, September). Retrieved from www.ojk.go.id

Oktaviani, M. (2015). Early Warning System dan Pertumbuhan Pendapatan Kontribusi pada Perusahaan Asuransi Jiwa Syariah di Indonesia. Jurnal Keuangan dan Perbankan, Vol 19 No 2

Olufemi, A.P (2012). Predicting Bank Failure in Nigeria Using Principal Component Analysis and Score Model. Research Journal of Finance and Accounting, vol 3, No 8

Pangkey, P. C., Saerang, I. S., & Maramis, J. B. (2018). Analisis Prediksi Kebangkrutan Dengan Menggunakan Metode Altman Dan Metode Zmijewski Pada Perusahaan Bangkrut Yang Pernah Go Public Di Bursa Efek Indonesia. 3178 Jurnal EMBA, 6(4), 3178–3187.

Primayanti, A., Denny Arfianto, E., & Manajemen Fakultas Ekonomika dan Bisnis Universitas Diponegoro Jl Soedharto, J. (2016). the Determinant of Financial Health on Sharia Life Insurance Company. Diponegoro Journal of Management, 5(3), 1–14. http://ejournal-s1.undip.ac.id/index.php/dbr

Putri, N.K.,& Werastuti (2020). Analisis model fulmer dan grover dalam memperediksi financial distress pada industi barang konsumsi. Jimat (jurnal ilmiah mahasiswa akuntansi), Vol 11 No.3

Sekaran. (2013). Research Methods for Business : A Skill Building Approach. New York : John Wiley@Sons.

Surahman, A (2010). Analisis Kebangkrutan dan Tingkat Akurasi Model Altman, Springate, Zmijewski, Grover dan Internal Growth Rate dalam Memprediksi Kebangkrutan Pada Perusahaan Manufaktur Yang Terdaftar di BEI Periode 2007-2009”

Vasu, M., & Ravi, V. (n.d.). Bankruptcy Prediction in Banks by Principal Component Analysis Threshold Accepting trained Wavelet Neural Network Hybrid. Institute for Development and Research in Banking Technology.

White, Gerald I., A.C. Sondhi, and D.Fried. 2003. The Analysis and Use of Financial Statements, Second Edition, John Wiley & Sons, Inc

Yousop, N. L., Abdullah, N. M., Ramdhan, N., Ahmad, Z., Sipon, Z., Ismail, N., . . . Jaffar, A. P. (2014). A Conceptual Study on Financial Distress of Takaful Firms in Malaysia. AENSI Journals, 15-21

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Published

2024-12-14

How to Cite

Early Warning System Kerentanan Keuangan Asuransi Syariah di Indonesia. (2024). Indonesian Journal of Islamic Economics and Business, 9(2), 258-278. https://doi.org/10.30631/ijoieb.v9i2.2066

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