scholarly journals Model altman z-score modification sebagai early warning system untuk memprediksi financial distress UMKM di kabupaten Banyuwangi Indonesia

2021 ◽  
Vol 8 (2) ◽  
pp. 139-148
Author(s):  
Deddy Kurniawansyah ◽  
Dian Agustia
Keyword(s):  
Early Warning ◽  
Financial Distress ◽  
Early Warning System ◽  
Warning System ◽  
Z Score

scholarly journals Pengaruh Likuiditas, Profitabilitas dan Leverage terhadap Prediksi Financial Distress

2019 ◽  
Vol 6 (01) ◽  
Author(s):  
Rina Erayanti
Keyword(s):  
Early Warning ◽  
Financial Distress ◽  
Financial Management ◽  
Early Warning System ◽  
Stock Exchange ◽  
Warning System ◽  
Business Development ◽  
System Model ◽  
Sustainable Business ◽  
Purposive Sampling

ABSTRACT The importance of financial management as a vital aspect of the company should be considered and managed properly if the company remains to maintain the sustainable business. Development of an early warning system model is needed to anticipate the financial distress, because this model can identify and improve the condition prior to the crisis. This research aims to examine the liquidity (CR, QR), profitability (ROI, ROE), leverage (DER, DAR), the effect of financial distress. The sample used in this research is the company's transportation, infrastructure and utilities sector in Indonesia Stock Exchange (BEI) for the period year 2012-2016. This research uses purposive sampling, which obtained 171 samples of observations from 39 companies. The hypothesis is examined by using regression logistic. The result shows that the ratio of ROI havesignificant effect on the company’s financial distress. While the CR, QR, ROE DER and DAR have no effect on the company’s financial distress. ABSTRAK Pentingnya pengelolaan keuangan sebagai aspek vital perusahaan benar-benar harus diperhatikan dan dikelola dengan baik jika perusahaan tetap untuk dapat menjaga kelangsungan hidup usahanya. Diperlukan pengembangan model sistem peringatan untuk mengantisipasi adanya financial distress, karena model ini dapat digunakan sebagai sarana untuk mengidentifikasikan bahkan untuk memperbaiki kondisi sebelum sampai pada kondisi krisis. Studi ini bertujuan untuk meneliti pengaruh likuiditas (CR, QR), profitabilitas (ROI, ROE), leverage (DER, DAR), terhadap prediksi financial distress pada perusahaan sektor transportasi, infrastruktur dan utilities yang terdaftar di Bursa Efek Indonesia periode tahun 2012-2016. Pengambilan sampel dengan menggunakan purposive sampling dan diperoleh sebanyak 171 sampel observasi dari 39 perusahaan. Pengujian hipotesis dilakukan dengan menggunakan regression logistik. Hasil pengujian hipotesis mununjukkan bahwa variabel ROI berpengaruh signifikan terhadap financial distress perusahaan. Sedangkan variabel CR, QR, ROE, DER dan DAR tidak berpengaruh terhadap financial distress perusahaan.

scholarly journals ANALISIS POTENSI KESULITAN KEUANGAN PERUSAHAAN MANUFAKTUR MAKANAN DAN MINUMAN DI BURSA EFEK JAKARTA

2008 ◽  
Vol 4 (4) ◽  
Author(s):  
I Made Surya Nurraja
Keyword(s):  
Discriminant Analysis ◽  
Early Warning ◽  
Financial Distress ◽  
Early Warning System ◽  
Significant Contribution ◽  
Warning System ◽  
Preventive Action ◽  
Multiple Discriminant Analysis ◽  
Return On Equity ◽  
Financial Condition

Many companies registred at the Bursa Efek Jakarta technically can’t be maintained anymore. This fact needs to be known earlier by who has concern for it. Therefore, the study produce a model for preventive action as an early warning system which expect can be used together in order to anticipate the financial condition of the companies are getting worse and finally become bankrupt.Using eleven financial rations and Multiple Discriminant Analysis, this study found that there are six financial rations have different between companies have significant contribution (Total Liabilities to Total Assets and Return on Equity)Keywords : Financial rations, Financial distress, Multiple Discriminant Analysis.

Predicting Global Financial Meltdown and Systemic Banking Failure

2016 ◽  
pp. 46-79 ◽  
Author(s):  
Shefali Virkar
Keyword(s):  
Early Warning ◽  
Financial Distress ◽  
Financial Crises ◽  
Early Warning System ◽  
Warning System ◽  
Financial Contagion ◽  
Financial History ◽  
National Boundaries ◽  
Constituent Elements

The last two decades of international financial history have witnessed an unprecedented increase in the number of episodes of financial distress; wherein the incidence of these episodes has not been restricted to national boundaries as localised systemic incidents but have instead been spread to other countries and across regions in the form of financial contagion. This book chapter proposes a detailed discussion and analysis of the scholarly and practitioner literature used to conceptualise and to encapsulate the theoretical construct of an Early Warning System (EWS) developed to predict and mitigate the onset and persistence of systemic banking failures and financial crises. The models that constitute the focus of this overview are pivotal to the prediction of systemic banking meltdowns, either on their own or as constituent elements of other methodological approaches that contribute significantly towards the design and development of an Early Warning System.

scholarly journals Early Warning System Kondisi Financial pada Industri Manufaktur di BEI

2018 ◽  
Vol 2 (2) ◽  
pp. 143-154
Author(s):  
Sabar Sabar
Keyword(s):  
Early Warning ◽  
Financial Distress ◽  
Return On Investment ◽  
Early Warning System ◽  
Warning System ◽  
Short Term

Problemasi memprediksi risiko masih menjadi permasalahan spesifik yang memerlukan perhatian dalam bidang investasi. Penelitian sebelumnya menghasilkan temuan bahwa ada semacam bahwa early warning system (EWS) bagi investor dapat dijadikan acuan untuk kehati-hatian. Penelitian ini memberikan EWS bagi investor yang menekuni industry pengolahan yang go public di BEI. Penelitianini berupaya membedakan perusahaan dalam kategori kesulitan keuangan dan tidak kesulitan keuangan. Variabel keuangan yang digunakan tergabung dalam kelompok short term liquidity, long term solvency, profitability, productivity, indebtedness, investment intensiveness, leverage, return on investment, equity dan EVA. Hasil uji terdapat 14 rasio keuangan yang memiliki perbedaan antara rasio keuangan pada kategori perusahaan non-financial distress dan financial distress

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