IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v16y2023i10p439-d1255994.html
   My bibliography  Save this article

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

Author

Listed:
  • Joung Oh Park

    (Seoul Business School, aSSIST University, Seoul 03707, Republic of Korea)

  • Jinhee Choi

    (Seoul Business School, aSSIST University, Seoul 03707, Republic of Korea)

  • Guy Ngayo

    (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.

Suggested Citation

  • Joung Oh Park & Jinhee Choi & Guy Ngayo, 2023. "Predicting the Non-Return of Chonsei Lease Deposits in the Republic of Korea," JRFM, MDPI, vol. 16(10), pages 1-14, October.
  • Handle: RePEc:gam:jjrfmx:v:16:y:2023:i:10:p:439-:d:1255994
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/16/10/439/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1911-8074/16/10/439/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Black, Fischer & Cox, John C, 1976. "Valuing Corporate Securities: Some Effects of Bond Indenture Provisions," Journal of Finance, American Finance Association, vol. 31(2), pages 351-367, May.
    2. Park, Sung Sik & Pyun, Ju Hyun, 2020. "Between two extreme practices of rent-only and deposit-only leases in Korea: Default risk vs. cost of capital," Regional Science and Urban Economics, Elsevier, vol. 85(C).
    3. Min Hwang & John Quigley & Jae-young Son, 2006. "The Dividend Pricing Model: New Evidence from the Korean Housing Market," The Journal of Real Estate Finance and Economics, Springer, vol. 32(3), pages 205-228, May.
    4. Matteo Iacoviello, 2015. "Financial Business Cycles," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 18(1), pages 140-164, January.
    5. Kim, Jinwon, 2013. "Financial repression and housing investment: An analysis of the Korean chonsei," Journal of Housing Economics, Elsevier, vol. 22(4), pages 338-358.
    6. Brueckner, Jan K, 2000. "Mortgage Default with Asymmetric Information," The Journal of Real Estate Finance and Economics, Springer, vol. 20(3), pages 251-274, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Moon, Byunggeor, 2018. "Housing investment, default risk, and expectations: Focusing on the chonsei market in Korea," Regional Science and Urban Economics, Elsevier, vol. 71(C), pages 80-90.
    2. Chen, Jie & Wu, Fulong & Lu, Tingting, 2022. "The financialization of rental housing in China: A case study of the asset-light financing model of long-term apartment rental," Land Use Policy, Elsevier, vol. 112(C).
    3. Sanghyun Kim & Juhyung Kim & Jaejun Kim, 2016. "Structural Changes in the Korean Housing Market before and after Macroeconomic Fluctuations," Sustainability, MDPI, vol. 8(5), pages 1-20, April.
    4. Ahn, Seryoong & Ryu, Doojin, 2024. "Optimal chonsei to monthly rent conversion choice given borrowing constraints," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 28-42.
    5. Kau, James B. & Keenan, Donald C., 1999. "Patterns of rational default," Regional Science and Urban Economics, Elsevier, vol. 29(6), pages 765-785, November.
    6. Gady Jacoby & Chuan Liao & Jonathan A. Batten, 2007. "A Pure Test for the Elasticity of Yield Spreads," The Institute for International Integration Studies Discussion Paper Series iiisdp195, IIIS.
    7. Gordian Rättich & Kim Clark & Evi Hartmann, 2011. "Performance measurement and antecedents of early internationalizing firms: A systematic assessment," Working Papers 0031, College of Business, University of Texas at San Antonio.
    8. Park, Donghyun & Xiao, Qin, 2009. "Housing Prices and the Role of Speculation: The Case of Seoul," ADB Economics Working Paper Series 146, Asian Development Bank.
    9. Mariarosaria Comunale, 2017. "Synchronicity of real and financial cycles and structural characteristics in EU countries," CEIS Research Paper 414, Tor Vergata University, CEIS, revised 25 Sep 2017.
    10. Zhijian (James) Huang & Yuchen Luo, 2016. "Revisiting Structural Modeling of Credit Risk—Evidence from the Credit Default Swap (CDS) Market," JRFM, MDPI, vol. 9(2), pages 1-20, May.
    11. Fenglong Guo, 2025. "Pricing Vulnerable Options With Variance Gamma Systematic and Idiosyncratic Factors by Laplace Transform Inversion," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(1), pages 47-76, January.
    12. Prabheesh, K.P. & Anglingkusumo, Reza & Juhro, Solikin M., 2021. "The dynamics of global financial cycle and domestic economic cycles: Evidence from India and Indonesia," Economic Modelling, Elsevier, vol. 94(C), pages 831-842.
    13. Kollmann, Robert & Enders, Zeno & Müller, Gernot J., 2011. "Global banking and international business cycles," European Economic Review, Elsevier, vol. 55(3), pages 407-426, April.
    14. Yépez, Carlos A., 2018. "Financial intermediation and real estate prices impact on business cycles: A Bayesian analysis," The North American Journal of Economics and Finance, Elsevier, vol. 45(C), pages 138-160.
    15. Hilscher, Jens & Raviv, Alon, 2014. "Bank stability and market discipline: The effect of contingent capital on risk taking and default probability," Journal of Corporate Finance, Elsevier, vol. 29(C), pages 542-560.
    16. Christopher L. Culp & Yoshio Nozawa & Pietro Veronesi, 2014. "Option-Based Credit Spreads," NBER Working Papers 20776, National Bureau of Economic Research, Inc.
    17. Coën, Alain & Lefebvre, Benoit & Simon, Arnaud, 2018. "International money supply and real estate risk premium: The case of the London office market," Journal of International Money and Finance, Elsevier, vol. 82(C), pages 120-140.
    18. Peter Spencer, 2013. "Modeling US bank CDS spreads during the Global Financial Crisis with a deferred filtration pricing model," Discussion Papers 13/18, Department of Economics, University of York.
    19. Valdivia Coria, Joab Dan, 2022. "Apalancamiento, ciclo financiero y económico [Leverage, financial and business cycles]," MPRA Paper 116849, University Library of Munich, Germany.
    20. Zaretski, Aliaksandr, 2021. "Financial constraints, risk sharing, and optimal monetary policy," MPRA Paper 110757, University Library of Munich, Germany.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jjrfmx:v:16:y:2023:i:10:p:439-:d:1255994. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.