A Meta Classifier in this approach is used for the approval of Loan application, as a Data mining classification tool to support Business operations in a very secure way. The goal of designing a Meta classifier system is to achieve the best possible classification performance for the task of effective decision making. This Meta classifier is the combination of Naïve Bayesian classifier, K-Neare...

In this paper, we present the design, implementation and evaluation of intelligent methods that assess bank loan applications. Assessment concerns the ability/possibility of satisfactorily dealing with loan demands. Different loan programs from different banks may be proposed according to the applicant’s characteristics. For each loan program, corresponding attributes (e.g. interest, amount of ...

This paper models loan rate-setting behavior, taking into account the product pricing and performance of the borrowing firm, and also calculates the bank’s loan-risk sensitive equity values. The lending function creates the need to model bank equity as a capped call option, which captures the credit risk directly related to management of a firm’s operations. When the product price set by the bo...

We consider a lender (bank) who determines the optimal loan price (interest rates) to offer to prospective borrowers under uncertain risk and borrower response. A borrower may or may not accept the loan at the price offered, and in the presence of default risk, both the principal loaned and the interest income become uncertain. We present a risk-based loan pricing optimization model, which expl...

Authorized to Appraise Date: October 6, 2003 IBRD Amount ($m): Bank Approval: February 27, 2004 IDA Amount ($m): Global Supplemental Amount ($m): 5.50 Managing Unit: AFTES Lending Instrument: Specific Investment Loan (SIL) Status: Lending Sector: General agriculture, fishing and forestry sector Theme: Biodiversity (P); Other environment and natural resources management (P); Environmental polici...

most of the population of nigeria is rural and agriculture is the mainstay of the impoverished people’s livelihood. this paper estimated the determinants of rural poverty in nigeria using the tobit regression model. through the multistage sampling technique, primary data were obtained from 150 rural farming households using a questionnaire. the result of tobit regression analysis shows that inc...

Lenders face great uncertainty because of the information asymmetry problem in peerto-peer (P2P) marketplaces. This paper studies an online feature on a P2P platform, which allows lenders to seek information directly from the borrower of a loan, and examines the impact of the direct lender-borrower communication on the funding outcomes and the loan performance. Our analysis results show that th...