Ramadhani, Uzi (2019) Model Prediksi Financial Distress Berbasis Kinerja Keuangan Pada Perbankan Konvensional Go-Public Di Indonesia. Masters thesis, STIE Perbanas Surabaya.
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Abstract
This study aims to find a prediction model of financial difficulties in the Indonesian banking sector, especially in Conventional Go-Public Banks. The criteria for assessing financial difficulties are divided into two panels, namely the median panel and the mean or average panel. The financial performance assessed in this study is Loan to Deposits Ratio (LDR), Non-Performing Loans (NPL), Operational Costs and Operating Income or Biaya Operasional Pendapatan Operasional (BOPO), Return on Assets (ROA) and Capital Adequacy Ratio (CAR). The research sample amounted to forty-five (45) Conventional Go-Public Banks that operating in Indonesia in the period 2013-2017 and selected by using purposive sampling method. Logistic regression is used to analyze the data. The results of this study found that the NPL ratio in the median panel becomes a significant variable in predicting financial difficulties in Conventional Go-Public Banks in Indonesia, while the LDR, CAR and NPL ratios in the mean panel were significant variables in predicting financial difficulties in Conventional Go-Public Banks in Indonesia. Keywords: Financial Distress, Banking, Logistic Regression, Financial Performance
Item Type: | Thesis (Masters) |
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Subjects: | 300 - SOCIAL SCIENCE > 330 - 339 ECONOMICS > 332 - FINANCIAL ECONOMICS > 332.12 - BANKS & BANKING |
Divisions: | Magister of Management |
Depositing User: | Magang Magang |
Date Deposited: | 18 Dec 2019 07:59 |
Last Modified: | 18 Dec 2019 07:59 |
URI: | http://eprints.perbanas.ac.id/id/eprint/5706 |
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