Studying Borrower Level Risk Characteristics of Education Loan in India
Material type: TextDescription: 126-135 pSubject(s): In: Indian Institute of Managementl Banglore IIMB Management Review Vol 28Summary: The main objective of this paper is to study the performance of education loans over time and identify key risk factors of such loans across various geographies and constitutions. Using borrower level data of 5000 borrowers, from four major public sector banks in India, this paper empirically examines how education loan defaults and losses are explained by various characteristics associated with the loan (loan amount, interest rate, repayment period) and security positions (such as margin given and security ). Various borrower characteristics such as age, marital status, presence of guarantor or co-borrowers also have been examined. A set of univariate statistical tests as well as multivariate logit and Tobit regression techniques have been used to find out the answers. The empirical findings suggest that borrower defaults on education loan payments are mainly influenced by security, borrower margin and repayment periods. Borrowers with security cover are 1.5 times more likely to remain solvent than those without securities. A 10 percent increase in borrower margin (BMARGIN) decreases the odds of default (PD/PS) by 9.18 percent. The presence of a guarantor or co-borrower and collateral security significantly increases the chances of loan recovery and hence reduces default loss rates. Moreover, the socioeconomic characteristics of borrowers and their regional locations also act as important factors associated with education loan defaults. The paper suggests that strengthening borrower risk assessment techniques, portfolio monitoring, due diligence in lending, and institute performance measures can reduce credit risk in education loans. Merit, employability, and reputation of institutions should matter in loan appraisal to reduce the default risk.Item type | Current library | Call number | Vol info | Status | Notes | Date due | Barcode | Item holds | |
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Journal Article | Main Library | Vol 28, Issue 3/ 5556337JA1 (Browse shelf(Opens below)) | Available | 5556337JA1 | |||||
Journals and Periodicals | Main Library On Display | JRNL/GEN/Vol 28, Issue 3/5556337 (Browse shelf(Opens below)) | Vol 28, Issue 3 (30/10/2015) | Not for loan | September, 2016 | 5556337 |
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Vol 28, Issue 2 / 5556062JA2 An Investigation of Consumers’ Exploratory Tendencies as Motivators of their Responsive Behaviour to Deals | Vol 28, Issue 2/ 5556062JA3 Response Rate in Industrial Surveys Conducted in India: Trends and Implications | Vol 28, Issue 2/ 5556062JA4 Labour Market Outcome for Formal Vocational Education and Training in India: Safety Net and Beyond | Vol 28, Issue 3/ 5556337JA1 Studying Borrower Level Risk Characteristics of Education Loan in India | Vol 28, Issue 3/ 5556337JA2 Subordinate Debt, Deposit Insurance and Market Oriented Monitoring of Banks | Vol 28, Issue 3/ 5556337JA3 Cross Sectional Moments and Portfolio Returns: Evidence for Select Emerging Markets | Vol 28, Issue 3/ 5556337JA4 Executive Compensation and Firm Performance: Evidence from Indian Firms |
The main objective of this paper is to study the performance of education loans over time and identify key risk factors of such loans across various geographies and constitutions. Using borrower level data of 5000 borrowers, from four major public sector banks in India, this paper empirically examines how education loan defaults and losses are explained by various characteristics associated with the loan (loan amount, interest rate, repayment period) and security positions (such as margin given and security ). Various borrower characteristics such as age, marital status, presence of guarantor or co-borrowers also have been examined. A set of univariate statistical tests as well as multivariate logit and Tobit regression techniques have been used to find out the answers. The empirical findings suggest that borrower defaults on education loan payments are mainly influenced by security, borrower margin and repayment periods. Borrowers with security cover are 1.5 times more likely to remain solvent than those without securities. A 10 percent increase in borrower margin (BMARGIN) decreases the odds of default (PD/PS) by 9.18 percent. The presence of a guarantor or co-borrower and collateral security significantly increases the chances of loan recovery and hence reduces default loss rates. Moreover, the socioeconomic characteristics of borrowers and their regional locations also act as important factors associated with education loan defaults. The paper suggests that strengthening borrower risk assessment techniques, portfolio monitoring, due diligence in lending, and institute performance measures can reduce credit risk in education loans. Merit, employability, and reputation of institutions should matter in loan appraisal to reduce the default risk.
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