Predicting the Non-Return of Chonsei Lease Deposits in the Republic of Korea

Author:

Park Joung Oh1ORCID,Choi Jinhee1,Ngayo Guy2

Affiliation:

1. Seoul Business School, aSSIST University, Seoul 03707, Republic of Korea

2. Department of Strategic Manageemnt, Franklin University Switzerland, Via Ponte Tresa 29, 6924 Sorengo, Switzerland

Abstract

Chonsei, a Korean housing lease system, enables landlords to acquire direct housing purchase funds without mortgages and offers tenants a cost-effective rental option. However, public concerns have arisen about potential landlord defaults, causing financial distress for tenants. This study examined the risk of non-return of the Chonsei deposit and developed a default prediction model using Chonsei contract data from the Korea Housing and Urban Guarantee Corporation. Starting with the components from Merton’s bond pricing model, we included variables that reflect contract-specific factors, macroeconomic conditions, and the Korean Chonsei practices. The findings revealed that higher house price volatility, elevated debt-to-house value, and risk-free interest rates positively correlate with non-return risk. Meanwhile, certain factors, such as longer remaining maturity, favorable macroeconomic conditions, and rising market Chonsei price trends, demonstrated negative correlations with non-return risk. Consequently, a logistic regression-based default prediction model, with eight risk factors that predict the deposit non-return, was suggested. By identifying risk factors and predicting the non-return risk of deposits, this study contributes to an informed policy decision in planning and practicing Chonsei contracts in the Korean housing market.

Publisher

MDPI AG

Subject

Finance,Economics and Econometrics,Accounting,Business, Management and Accounting (miscellaneous)

Reference45 articles.

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3. Chonsei pricing with option pricing method;Bae;Journal of the Korea Real Estate Analysts Association,2012

4. Bank of Korea Economic Statistics System (ECOS) (2022, May 25). Available online: https://ecos.bok.or.kr/.

5. Bank of Korea (2023, July 17). Underwater Risk and Rollover Risk and Implication. Available online: http://www.bok.or.kr/portal/bbs/P0002359/list.do?menuNo=200066.

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