4 research outputs found

    PENGARUH RASIO CAMEL TERHADAP FINANCIAL DISTRESS PADA BANK UMUM SYARIAH DI INDONESIA PERIODE 2011-2015

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    Penelitian ini bertujuan untuk menganalisis pengaruh rasio CAMEL yang diproyeksikan dengan Capital Adequacy Ratio (CAR), Non Performing Loan (NPL), Net Profit Margin (NPM), Biaya Operasional Terhadap Pendapatan Operasional (BOPO) dan Loan to Deposit Ratio (LDR) terhadap financial distress. Financial distress adalah kondisi kesulitan keuangan sehingga perusahaan tidak mampu menjalankan kegiatan operasinya. Altman Z Score berguna untuk memprediksi kinerja keuangan perusahaan dan dapat digunakan untuk mengukur kesehatan bank dan hasil kinerja keuangan. Pengujian hipotesis dalam penelitian ini menggunakan analisis multivariate dengan menggunakan regresi logistik (logistic-regretion), karena model variabel dependen dalam model adalah binary atau dummy, dengan memberi nilai 1 untuk bank dalam kondisi financial distress dan nilai 0 untuk bank tidak dalam kondisi financial distress. Penelitian ini termasuk dalam jenis penelitian deskriptif verifikatif. Populasi dalam penelitian ini adalah 11 Bank Umum Syariah yang ada di Indonesia periode 2011-2015. Teknik pengambilan sampel menggunakan purposive sampling terdapat 45 sampel. Metode statistik yang digunakan untuk menguji hipotesis menggunakan teknik analisis regresi logistik. Hasil penelitian ini menunjukan pengaruh variabel independen dengan rasio CAMEL secara simultan tidak berpengaruh terhadap Financial Distress. Pengaruh variable independen terhadap variabel dependen secara parsial adalah Capital Adequacy Ratio tidak berpengaruh terhadap Financial Distress. Non Performing Loan tidak berpengaruh terhadap Financial Distress. Net Profit Margin tidak berpengaruh terhadap Financial Distress. Biaya Operasional Pendapatan Operasional tidak berpengaruh terhadap Financial Distress. Loan to Deposit Ratio tidak berpengaruh terhadap Financial Distress. Kata Kunci : CAMEL, Financial Distress, Altman Z Score, Dummy Variable, Regresi Logisti

    An investigation into the influence of credit ratings on credit risk of the South African banking industry

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    The financial stability of banks is crucial if they are to fulfil their role in facilitating transactions between borrowers and lenders. The purpose of this study was to investigate the effect of credit risk on the South African banking industry following a movement in credit ratings by rating agencies. Data from a sample of 11 banks were collected from 2006 to 2015. Econometric regression analysis was used to analyse the data. The results show that inflation, credit ratings, exchange rate, gross domestic product, unemployment rate, capital adequacy ratio and size of the bank are significant factors that determine "non-performing loans". Therefore, it is imperative that banks continuously monitor these factors and adapt their credit policies on "non-performing loans". This action would prepare banks for any adverse effects and ensure that the banking industry remains a sound and efficient contributor to the growth of the South African economy.Business ManagementM. Com. (Business Management

    The Risk Management Practices of Microfinance Banks in Nigeria

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    2014 dissertation for MSc in International Accounting and Finance. Selected by academic staff as a good example of a masters level dissertation. Microfinance has been generally termed worldwide as a key developmental tool in reaching poor people, targeting and delivering quality evidence based program to alleviate the challenges of poverty and economy defects of the lowly in the society. Risk is an all-encompassing phenomenon in the world of finance and it is situated at the core of any economic activities. The global financial Tsunami of 2007/2008 became a topical issue in the world of finance and an eyeopener amongst scholars and professionals in the financial world as the need for a more regulated and supervised financial system became more obvious. The increasing need for implementation of an effective risk management strategy or policy necessary for booms and expansion in the economy has been an important goal of individuals, firms, and government of developing nations, especially a country like Nigeria with an official population figure of 170m. The study employed Panel Data Analysis to investigate the impacts of an effective risk management tool using Return on Assets (ROA), Portfolio at Risk (PAR at 30days), and Gross Loan Portfolio as explanatory variables and then used the Capital Adequacy ratio as dependent variables while controlling for Inflation rate and Economic growth rate

    Commercial bank credit risk management based on grey incidence analysis

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