Research ArticleOpen accessIn the keywordsDETERMINANTS OF COMMON FACTORS IN KOREAN BANKS’ CREDIT DEFAULT SWAP PREMIUMSSeungjun Lee, Jaewoon Koo, Youngsik KwakUsing the panel analysis of non-stationarity in idiosycratic and common component method, we decompose Credit Default Swap (CDS) premium data of 11Korean banks into common factors and idiosyncratic shocks. We find that the CDS premium of all 11 banks is mostly explained by one common factor. We also find that the common factor of the banks’ CDS premium is mainly … …American Journal of Economics and Business Administration, Vol. 6, Issue 3 · 8 Dec 2014 · 7,014 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMacroeconomic Determinants of Non-Performing Loans: An Empirical Study of Some Arab CountriesMahmoud Abdelaziz Touny, Mohamed Abdelhameed ShehabThe issue of non-performing loans is one of the factors that reflect the soundness of the banking sector. The main objective of this study is to identify macroeconomic determinants of non-performing loans in some Arab countries through the period 2000-2012 using the dynamic panel data approach. The outcomes of this paper suggest that inflation rate has a negative impact on … …American Journal of Economics and Business Administration, Vol. 7, Issue 1 · 9 May 2015 · 7,930 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUsing Neutral Network in Predicting Corporate FailureHuong G. NguyenThis study investigates the predictive power of three neutral network models: Multi-layer neural network, probabilistic neural network, and logistic regression model in predicting corporate failure. Basing on the database provided by The Corporate Scorecard Group (CSG), we combine financial ratios which deem to be significant predictors of corporate bankruptcy in many previous empirical studies to build our predictive models and … …Journal of Social Sciences, Vol. 1, Issue 4 · 31 Dec 2005 · 7,324 accessesView PDFCite
Research ArticleOpen accessIn the abstractFinancing Higher Education and Education Loans in India: Trends and TroublesP. Geetha RaniThe paper attempts to investigate the trends in financing higher education which convey that student loans is the dominating source of financing higher education in India. This leads us to explore various factors that influence, viz., enrolment growth, growing private sector, bulging youth population with growing middle class with a wider acceptability of loan culture and increasing earning premium of … …Journal of Social Sciences, Vol. 12, Issue 4 · 3 Dec 2016 · 8,644 accessesView PDFCite
Research ArticleOpen accessIn the abstractDATA MINING IN BANKING AND ITS APPLICATIONS-A REVIEWSreekumar Pulakkazhy, R. V.S. BalanBanking systems collect huge amounts of data on day to day basis, be it customer information, transaction details, risk profiles, credit card details, limit and collateral details, compliance and Anti Money Laundering (AML) related information, trade finance data, SWIFT and telex messages. Thousands of decisions are taken in a bank daily. These decisions include credit decisions, default decisions, relationship start … …Journal of Computer Science, Vol. 9, Issue 10 · 5 Sep 2013 · 9,444 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Review on Data Mining in Banking SectorVikas Jayasree, Rethnamoney Vijayalakshmi Siva BalanThe banking industry has undergone various changes in the way they conduct the business and focus on modern technologies to compete the market. The banking industry has started realizing the importance of creating the knowledge base and its utilization for the benefits of the bank in the area of strategic planning to survive in the competitive market. In the modern … …American Journal of Applied Sciences, Vol. 10, Issue 10 · 5 Sep 2013 · 9,482 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Discrete-Time Hazard Model for Loans: Some Evidence from Italian Banking SystemGiambona FrancescaProblem statement: The probability of default, PD, is a crucial problem for banks. In the last years international accords (Basel, Basel 2 and Basel 3) have incentived banks to adopt objectives systems to evaluating and monitoring risk of default in order to predict PD for new loans based on borrower’s characteristics. The aim of this study is to introduce a … …American Journal of Applied Sciences, Vol. 9, Issue 9 · 14 Jul 2012 · 7,394 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Analysis of Credit Scoring for Agricultural Loans in ThailandVisit Limsombunchai, Christopher Gan, Minsoo LeeLoan contract performance determines the profitability and stability of the financial institutions and screening the loan applications is a key process in minimizing credit risk. Before making any credit decisions, credit analysis (the assessment of the financial history and financial backgrounds of the borrowers) should be completed as part of the screening process. A good credit risk assessment assists financial … …American Journal of Applied Sciences, Vol. 2, Issue 8 · 31 Aug 2005 · 7,620 accessesView PDFCite