Determinant of loan recovery rate towards banking industry in Malaysia / Nooratiqah Amir
Loan recovery is a topic that the researcher chooses to study due to the current issue about to recover the loan that not being paid over the due. Loan recovery is the gathering of a loan amount from a borrower in non-payment. Recovery studies employ different measures of recovery rates. One common...
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| Format: | Thesis |
| Language: | English |
| Published: |
2018
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/59017/1/59017.pdf |
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| Summary: | Loan recovery is a topic that the researcher chooses to study due to the current issue about to recover the loan that not being paid over the due. Loan recovery is the gathering of a loan amount from a borrower in non-payment. Recovery studies employ different measures of recovery rates. One common measure is the trading price of the debt instrument approximately 30 days after default. Firms defaulting on their bank loan obligations typically enter a period of bankruptcy protection, until their finances are successfully restructured. Some firms manage to fully recover and continue operating. Other less successful firms eventually fold up, with their creditors recovering less than was originally owed to them (or nothing). Hence, modelling recovery rates for defaulted loans is crucial, particularly for banks, as their capital ratio management is a function of accurately inferring recovery rates. The objective of this study is to determine loan recovery rate toward banking industry in Malaysia. In this study, loan size, interest rate, base lending rate and gross domestic product are the important toward loan recovery rate in Malaysia. The researcher used time series data about 97 latest years from 2010 to 2018. The data were analysed by using Pooled ordinary Least Square (OLS) to evaluate the relationship between variables by E-Views 9. From the empirical study, it is shown that the loan size, interest rate, base lending rate and gross domestic product influence the recovery rate. However, the study further anticipated the addition of supplementary variables to recover the strength and descriptive power of the general model. |
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