Malaysian residential mortgage loan default: a micro-level analysis

Abstract

Purpose

This study investigates factors contributing to residential mortgage loans default by utilizing a unique dataset of borrowers' default data from one of the pioneer lending institutions in Malaysia that provides home financing to the public. Studies on mortgage loan default have been extensively examined, but limited studies utilize the individual borrower's data, as financial institutions generally hesitant to reveal their customers' data due to confidentiality issue.

Design/methodology/approach

This study uses logistic regression model to analyze 47,158 housing loan borrowers' data for the year 2016.

Findings

The findings suggest that male borrowers, Malay and other type of ethnicity, guarantor availability, loan original balance, loan tenure, loan interest rate and loan-to-value (LTV) ratio are the significant factors that influence mortgage loans default in Malaysia.

Research limitations/implications

Future studies may expand the sample by employing data from other types of financial institutions that would give greater insights as findings might vary due to differences in objectives, functions and regulations. In addition, the findings are subjected to the censoring bias where future studies could perform the survival analysis to control for censoring bias and re-validating the findings of the present study.

Practical implications

The findings provide valuable insights for lending institutions and the government to formulate housing loan policy in Malaysia.

Originality/value

To the best of the authors' knowledge, this is the first study in the context of emerging economies that uses financial institution's internal data to investigate factors of mortgage loan default.

Citation

Abdul Adzis, A., Lim, H.E., Yeok, S.G. and Saha, A. (2021), "Malaysian residential mortgage loan default: a micro-level analysis", Review of Behavioral Finance, Vol. 13 No. 5, pp. 663-681. https://doi.org/10.1108/RBF-03-2020-0047