Analisis Penyelesaian Dana Macet di Koperasi Konsumen Guru dan Pegawai Negeri di Medan Area by Ripho Delzy Perkasa, Indah Cahyaning Wulandari Prabowo, Naiya Syahfitri Siregar

“…The results of this research show that the factors causing the occurrence of non-performing funds in the “Consumer Teachers and Civil Servants” cooperative are: (1) There is no limit for borrowing and no due date for repaying the loan (2) Lack of supervision and firmness on the part of the cooperative (3) Cooperative members borrow funds to the cooperative then borrow from the bank (4) Members have an accident or disaster. …”
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The Role of Savings and Lending Groups in the Financial Inclusion of Rural Women Entrepreneurs: A Case Study of IMPABARUTA Cooperative in Kamonyi District, Rwanda. by Mukamwezi, Albertine, Ocan, Johnson, Adyanga, Francis Akena

“…A paired t-test revealed significant increases in savings (from 50,000 Rwf to 500,000 Rwf) and loan access (from 10% to 80%) after joining the IMPABARUTA Cooperative. …”
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EFFECT OF DEBT FINANCING ON FINANCIAL PERFORMANCE OF LISTED DEPOSIT MONEY BANKS IN NIGERIA by Adedamola Ayinde BAMGBOYE

“…It thus recommended that DMBs should focus on optimizing prudent debt financing practices to effectively manage their loan to deposit ratios. Also, banks should strategically use debt to enhance asset utilization and profitability. …”
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New challenges and problems of the nancial market in the open bank system conditions by S. S. Galazova, L. R. Magomaeva

“…Also, clients will be able to offer better loan terms, as credit institutions will be able to analyze its transaction data to determine the level of the borrower’s risk.…”
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Did Bank Capital Regulation Exacerbate the Subprime Mortgage Crisis? by M. A. Petersen, M. C. Senosi, J. Mukuddem-Petersen, M. P. Mulaudzi, I. M. Schoeman

“…For instance, institutions worldwide have badly misjudged the risk related to investments ranging from subprime mortgage loans to mortgage-backed securities (MBSs). Also, analysts are now questioning whether Basel II has failed by allowing these institutions to provision less capital for subprime mortgage loan losses from highly rated debt, including MBSs. …”
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Maximizing Banking Profit on a Random Time Interval by J. Mukuddem-Petersen, M. A. Petersen, I. M. Schoeman, B. A. Tau

“…A consideration of these items leads to the formulation of a maximization problem that involves endogenous variables such as depository consumption, the value of the bank's investment in loans, and provisions for loan losses as control variates. …”
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The Effect of the Russian Subnational Debt on the Socio-economic Development of the Region by O. I. Larina, N. V. Moryzhenkova

“…It is concluded that a bank loan is the most popular form of market borrowing, as it has in relation to issuance of bonds less amount of disadvantages. …”
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RETRANSLATION OF CULTURAL CODE IN RUSSIAN-PORTUGUESE LITERARY TRANSLATION: TRANSLATION EXPERIMENT by Vasilisa A. Danilova

“…Some inaccurate translation decisions made whilst transferring realia into Portuguese were identified: choosing incorrect translation equivalents, using loan translation, transcription and transliteration of Russian realia without any remarks. …”
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Effect of Internal Control System on Financial Performance of Savings and Credit Co-Operatives in Kabale Municipality A Case Study of Lyamujungu SACCO Kabale Branch. by Aheisibwe, Joanita

“…Key determinants of financial performance identified included loan portfolio quality, capital adequacy, operational efficiency, leadership quality, member satisfaction, and staff productivity. …”
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Financial Inclusion and Access to Higher Education An Empirical Study of Selected Districts in Eastern Uganda by Eton, Marus, Sammy, Godfrey Poro, Denis, Sekiwu, Fabian, Mwosi, Francis Akena, Adyanga

“…The study recommends that the government of Uganda through the concerned ministry should review the implementation of their policies on Students loan scheme and district quota systems. The government should always publish the lists of students admitted to higher education institutions in popular media and newspapers to create awareness to those being admitted to particular institutions.…”
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Mudharabah, musyarakah, financing risk, and performance of Islamic banks: Empirical evidence from Indonesia by Radhita Asfarina Annizar, Eddy Junarsin

“…Mudharabah will reduce financing risk if the proportion of mudharabah to total loans is in the range of 5.5-12.6%. A proportion of mudharabah below 5.5% or above 12.6% worsens non-performing financing (NFP), loan loss provision (LLP), and Z-score. …”
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Mudharabah, musyarakah, financing risk, and performance of Islamic banks: Empirical evidence from Indonesia by Radhita Asfarina Annizar, Eddy Junarsin

“…Mudharabah will reduce financing risk if the proportion of mudharabah to total loans is in the range of 5.5-12.6%. A proportion of mudharabah below 5.5% or above 12.6% worsens non-performing financing (NFP), loan loss provision (LLP), and Z-score. …”
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Pengaruh risk profile, good corporate governance (GCG), earnings (profitability), and capital (capital adequacy), terhadap pertumbuhan laba pada bank syariah by Salsabila Fadila Putri, Irni Yunita

“…First, from the test on the Influence of Risk Profile (Non Performing Loan/NPL) on Profit Growth, the results show that NPL has an insignificant negative influence on profit growth. …”
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TÌM DẤU ẤN PHÂN TỬ CỦA CHUỐI TIÊU (CAVENDISH) THƯƠNG PHẨM Ở LÂM ĐỒNG BẰNG PHẢN ỨNG TRÙNG HỢP CHUỖI PCR by Nguyễn Xuân Tùng, Kim Soo Yong, Trần Thị Nhung, Nguyễn Thị Liễu, Hoàng Thị Như Phương

“…Kết quả phân tích di truyền 6 dòng chuối tiêu thương phẩm tại Lâm Đồng dùng kỹ thuật RAPD (Random Amplified Polymorphic DNA – đa hình các đoạn ADN khuếch đại ngẫu nhiên) cho thấy hệ số di truyền gần giống nhau và giống với chuối Tiêu hồng lấy ở Viện cây ăn quả, Hà Nội (trên 85%) nhưng lại khác với chuối Già Đài Loan tại đại phương. So sánh đoạn trnF-trnL trong lục lạp giữa các dòng chuối tiêu khảo sát chỉ khác nhau khoảng 5 vị trí (<2%) chứng tỏ chúng có chung một nguồn gốc. …”
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Analytical Evaluation of Indicators Affecting Credit Risk in Islamic and Conventional Banking; (with Emphasis on Good Governance Index) by somayeh Naserzadeh, Asghar Abolhasani Hastiani, Bita Shaygani, Samira Motaghi

“…Also, there is no significant relationship between the ratio of net loans to total assets and the risk of conventional banks.…”
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Legal regime of business partnership property (considering international experience) by R. M. Artemenko

“…It has been proved that in this case, a business company is not an owner, but, for example, a lessee (tenant), a user under a loan agreement, a mortgage agreement as a mortgagor, etc.…”
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The effect of liquidity risk, capital and third-party fund on bank performance with credit risk as intervening variable: Cases in conventional Bank in Indonesia by Sutrisno Sutrisno

“… Purpose – this research examines the effect of liquidity risk as measured by the loan to deposit ratio (LDR), bank capital as measured by the capital adequacy ratio (CAR), credit risk as measured by non-performing loans (NPL) and third-party funds (TPF). on profitability as measured by return on assets (ROA). …”
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Credit Risk Management and Profitability of Commercial Banks in Uganda: A Case of Centenary Bank Kabale Branch. by Tushemereirwe, Charity

“…Profitability on the other hand was viewed in terms of Return on Equity, Return on Assets, and Non-Performing Loans. The study adopted descriptive and correlation research designs. …”
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Learning transactions representations for information management in banks: Mastering local, global, and external knowledge by Alexandra Bazarova, Maria Kovaleva, Ilya Kuleshov, Evgenia Romanenkova, Alexander Stepikin, Aleksandr Yugay, Dzhambulat Mollaev, Ivan Kireev, Andrey Savchenko, Alexey Zaytsev

“…., predicting successful loan repayment. Unfortunately, maintaining separate models for each task is costly. …”
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A Differential Evolution-Oriented Pruning Neural Network Model for Bankruptcy Prediction by Yajiao Tang, Junkai Ji, Yulin Zhu, Shangce Gao, Zheng Tang, Yuki Todo

“…In recent decades, various bankruptcy prediction models have been developed for academics and practitioners to predict the likelihood that a loan customer will go bankrupt. Among them, Artificial Neural Networks (ANNs) have been widely and effectively applied in bankruptcy prediction. …”
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