Characteristics of Mortgage Terminations: An Analysis of a Loan-level Dataset

Posted: 20 Nov 2018

See all articles by Hyeongjun Kim

Hyeongjun Kim

College of Business, Korea Advanced Institute of Science and Technology (KAIST)

Hoon Cho

Korea Advanced Institute of Science and Technology (KAIST)

Doojin Ryu

Sungkyunkwan University

Date Written: November 13, 2018

Abstract

Understanding mortgage termination behavior is crucial for valuating mortgage-backed securities. Analyzing a unique loan-level dataset, this study examines the characteristics of mortgage prepayment and default behaviors in the Korean housing and housing finance markets. We also analyze mortgage termination behaviors across regions, loan purposes, and periods. The results suggest that the prepayment rate of fixed-rate mortgages (FRMs) and the ratio of adjustable-rate mortgages to FRMs can provide meaningful signals for the Korean household economy. Although the macro-prudential policies pertaining to the loan-to-value ratio (LTV) and debt-to-income ratio (DTI) are very effective, their effects can vary depending on the region or loan purpose. Furthermore, the DTI and credit score cannot always identify the default risks of mortgages are not intended for housing purchases even though such mortgages are more vulnerable to macroeconomic changes. The observed changes in default behavior indicate that the government's policies to promote fixed-rate loans have achieved a certain degree of success.

Keywords: Default; Hazard Model; Loan-Level Dataset; Mortgage; Prepayment

JEL Classification: D12; G21; R31

Suggested Citation

Kim, Hyeongjun and Cho, Hoon and Ryu, Doojin, Characteristics of Mortgage Terminations: An Analysis of a Loan-level Dataset (November 13, 2018). Journal of Real Estate Finance and Economics, Vol. 57, No. 4, 2018, Available at SSRN: https://ssrn.com/abstract=3284059

Hyeongjun Kim

College of Business, Korea Advanced Institute of Science and Technology (KAIST) ( email )

85 Hoegiro, Dongdaemoon-gu
Seoul 02455
Korea, Republic of (South Korea)

Hoon Cho

Korea Advanced Institute of Science and Technology (KAIST) ( email )

373-1 Kusong-dong
Yuson-gu
Taejon 305-701, 130-722
Korea, Republic of (South Korea)

Doojin Ryu (Contact Author)

Sungkyunkwan University ( email )

53 Myeongnyun-dong 3-ga Jongno-ju
Guro-gu
Seoul, 110-745
Korea, Republic of (South Korea)

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