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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Main Author: Amir, Nooratiqah
Format: Thesis
Language:English
Published: 2018
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/59017/1/59017.pdf
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spelling my-uitm-ir.590172022-05-24T05:13:37Z Determinant of loan recovery rate towards banking industry in Malaysia / Nooratiqah Amir 2018-12 Amir, Nooratiqah Income. Income distribution. National income. Including gross national product, gross domestic product, and gross state product Interest rates Bank loans. Bank credit. Commercial loans 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. 2018-12 Thesis https://ir.uitm.edu.my/id/eprint/59017/ https://ir.uitm.edu.my/id/eprint/59017/1/59017.pdf text en public degree UiTM Cawangan Johor Faculty of Business and Management Abu Bakar, Norsaliza Mohamed Yousop, Nur Liyana
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Abu Bakar, Norsaliza
Mohamed Yousop, Nur Liyana
topic Income
Income distribution
National income
Including gross national product, gross domestic product, and gross state product
Interest rates
Income
Income distribution
National income
Including gross national product, gross domestic product, and gross state product
spellingShingle Income
Income distribution
National income
Including gross national product, gross domestic product, and gross state product
Interest rates
Income
Income distribution
National income
Including gross national product, gross domestic product, and gross state product
Amir, Nooratiqah
Determinant of loan recovery rate towards banking industry in Malaysia / Nooratiqah Amir
description 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.
format Thesis
qualification_level Bachelor degree
author Amir, Nooratiqah
author_facet Amir, Nooratiqah
author_sort Amir, Nooratiqah
title Determinant of loan recovery rate towards banking industry in Malaysia / Nooratiqah Amir
title_short Determinant of loan recovery rate towards banking industry in Malaysia / Nooratiqah Amir
title_full Determinant of loan recovery rate towards banking industry in Malaysia / Nooratiqah Amir
title_fullStr Determinant of loan recovery rate towards banking industry in Malaysia / Nooratiqah Amir
title_full_unstemmed Determinant of loan recovery rate towards banking industry in Malaysia / Nooratiqah Amir
title_sort determinant of loan recovery rate towards banking industry in malaysia / nooratiqah amir
granting_institution UiTM Cawangan Johor
granting_department Faculty of Business and Management
publishDate 2018
url https://ir.uitm.edu.my/id/eprint/59017/1/59017.pdf
_version_ 1783735009139490816