During last few years, banks in Pakistan have suffered huge losses due to high defunct ratein portfolio of consumer loans. The main reason for defaults was inadequate mechanism andprocedures for sanctioning new loans. In view of increasing infected portfolio of banks in Pakistan,have realized the importance of ascertaining creditworthiness of new consumer loans.In order to decrease the infected portfolio, a credit scoring model has been developed in thisstudy. Discriminant Statistical Technique has been used for developing this credit scoring model.Type 1 and Type 2 error have been worked out to improve the model predicting capabilities.Keywords: Consumer Loans, Credit Worthiness, Delinquency, Discriminant Statistical Technique
Purpose – This paper aims to investigate the efficiency and effectiveness of alternative credit-scor...
This study aims to examine the macroeconomic and bank specific predictors of Credit Risk (NPL) and t...
Retail Loans now-a-days form a major proportion of Loan Portfolio. Broadly they can be classified as...
The main aim of this paper is to investigate how far applying suitably conceived and designed credit...
The aim of this paper is to present how credit scoring models can be used in financial institutions,...
The use of credit scoring - the quantitative and statistical techniques to assess the credit risks i...
Credit scoring is a scientific method of assessing the credit risk associated with new credit applic...
Banks and financial institutions by gathering resources and allocating them to the different economi...
Credit scoring is regarded as a core competence of commercial banks during the last few decades. A n...
Banking sector in Pakistan has witnessed tremendous growth in the last decade, owing to the financia...
In modern banking concept one of the most important functions of a bank or financial Institution is ...
Purpose: The purpose of the concern study is to investigate the determinants of credit risk (CR) of ...
Credit scoring is broadly applied in consumer lending especially in credit cards and mortgages. Cred...
Credit scoring is an application of financial risk forecasting to consumer lending. In this study, s...
The failure or success of the banking industry depends largely on the industrys ability to properly ...
Purpose – This paper aims to investigate the efficiency and effectiveness of alternative credit-scor...
This study aims to examine the macroeconomic and bank specific predictors of Credit Risk (NPL) and t...
Retail Loans now-a-days form a major proportion of Loan Portfolio. Broadly they can be classified as...
The main aim of this paper is to investigate how far applying suitably conceived and designed credit...
The aim of this paper is to present how credit scoring models can be used in financial institutions,...
The use of credit scoring - the quantitative and statistical techniques to assess the credit risks i...
Credit scoring is a scientific method of assessing the credit risk associated with new credit applic...
Banks and financial institutions by gathering resources and allocating them to the different economi...
Credit scoring is regarded as a core competence of commercial banks during the last few decades. A n...
Banking sector in Pakistan has witnessed tremendous growth in the last decade, owing to the financia...
In modern banking concept one of the most important functions of a bank or financial Institution is ...
Purpose: The purpose of the concern study is to investigate the determinants of credit risk (CR) of ...
Credit scoring is broadly applied in consumer lending especially in credit cards and mortgages. Cred...
Credit scoring is an application of financial risk forecasting to consumer lending. In this study, s...
The failure or success of the banking industry depends largely on the industrys ability to properly ...
Purpose – This paper aims to investigate the efficiency and effectiveness of alternative credit-scor...
This study aims to examine the macroeconomic and bank specific predictors of Credit Risk (NPL) and t...
Retail Loans now-a-days form a major proportion of Loan Portfolio. Broadly they can be classified as...