IDEAS home Printed from https://ideas.repec.org/a/jas/jasssj/2019-122-3.html
   My bibliography  Save this article

Housing Market Agent-Based Simulation with Loan-To-Value and Debt-To-Income

Author

Abstract

This paper introduces an agent-based model of a housing market with macro-prudential policy experiments. Specifically, the simulation model is used to examine the effects of a policy setting on loan-to-value (LTV) and debt-to-income (DTI), which are policy instruments several governments use to regulate the housing market. The simulation model illustrates the interactions among the households, the house suppliers, and the real estate brokers. We model each household in the population as either seller or buyer, and some of households may behave as speculators in the housing market. To better understand the impact of the policies, we used the real-world observations from the Korean housing market, which include various economic conditions, policy variables, and Korean census data. Our baseline model is quantitatively validated to the price index and the transaction volume of the past Korean housing market. After validation, we show the empirical effectiveness of setting LTV and DTI towards house prices, transaction volumes, and the amount of households' mortgages. Furthermore, we investigate the simulation results for the owner-occupier rate of households. These investigations provide the policy analyses in Korea's housing market, and other governments with LTV and DTI regulations.

Suggested Citation

  • Tae-Sub Yun & Il-Chul Moon, 2020. "Housing Market Agent-Based Simulation with Loan-To-Value and Debt-To-Income," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(4), pages 1-5.
    • Handle: RePEc:jas:jasssj:2019-122-3
    as

    Download full text from publisher

    File URL: https://www.jasss.org/23/4/5/5.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Crowe, Christopher & Dell’Ariccia, Giovanni & Igan, Deniz & Rabanal, Pau, 2013. "How to deal with real estate booms: Lessons from country experiences," Journal of Financial Stability, Elsevier, vol. 9(3), pages 300-319.
    2. Jean Arcand & Enrico Berkes & Ugo Panizza, 2015. "Too much finance?," Journal of Economic Growth, Springer, vol. 20(2), pages 105-148, June.
    3. Braun-Munzinger, Karen & Liu, Zijun & Turrell, Arthur, 2016. "An agent-based model of dynamics in corporate bond trading," Bank of England working papers 592, Bank of England.
    4. Stephen Cecchetti & Enisse Kharroubi, 2012. "Reassessing the impact of finance on growth," BIS Working Papers 381, Bank for International Settlements.
    5. Eric Wong & Tom Fong & Ka-fai Li & Henry Choi, 2011. "Loan-to-Value Ratio as a Macro-Prudential Tool - Hong Kong's Experience and Cross-Country Evidence," Working Papers 1101, Hong Kong Monetary Authority.
    6. Cussen, Mary & O'Brien, Martin & Onorante, Luca & O'Reilly, Gerard, 2015. "Assessing the impact of macroprudential measures," Economic Letters 03/EL/15, Central Bank of Ireland.
    7. Baptista, Rafa & Farmer, J. Doyne & Hinterschweiger, Marc & Low, Katie & Tang, Daniel & Uluc, Arzu, 2016. "Macroprudential policy in an agent-based model of the UK housing market," Bank of England working papers 619, Bank of England.
    8. Ian Christensen, 2011. "Mortgage Debt and Procyclicality in the Housing Market," Bank of Canada Review, Bank of Canada, vol. 2011(Summer), pages 35-42.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Geovanna Hinojoza-Castro & Montserrat Gómez-Delgado & Wenseslao Plata-Rocha, 2022. "Real Estate Developers as Agents in the Simulation of Urban Sprawl," Sustainability, MDPI, vol. 14(15), pages 1-12, July.
    2. Bernardo Alves Furtado, 2022. "PolicySpace2: Modeling Markets and Endogenous Public Policies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 25(1), pages 1-8.
    3. Adrian Carro & Marc Hinterschweiger & Arzu Uluc & J Doyne Farmer, 2023. "Heterogeneous effects and spillovers of macroprudential policy in an agent-based model of the UK housing market," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 32(2), pages 386-432.
    4. Ruben Tarne & Dirk Bezemer, 2023. "ousing affordability in a monetary economy: an agent-based model of the Dutch housing market," IMK Working Paper 222-2023, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    5. Sedar Olmez & Akhil Ahmed & Keith Kam & Zhe Feng & Alan Tua, 2023. "Exploring the Dynamics of the Specialty Insurance Market Using a Novel Discrete Event Simulation Framework: a Lloyd's of London Case Study," Papers 2307.05581, arXiv.org.

    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. Aikman, David & Haldane, Andrew & Hinterschweiger, Marc & Kapadia, Sujit, 2018. "Rethinking financial stability," Bank of England working papers 712, Bank of England.
    2. Eric Wong & Andrew Tsang & Steven Kong, 2014. "How Does Loan-To-Value Policy Strengthen Banks' Resilience to Property Price Shocks - Evidence from Hong Kong," Working Papers 032014, Hong Kong Institute for Monetary Research.
    3. Gross, Marco & Población, Javier, 2017. "Assessing the efficacy of borrower-based macroprudential policy using an integrated micro-macro model for European households," Economic Modelling, Elsevier, vol. 61(C), pages 510-528.
    4. Lo Turco, Alessia & Maggioni, Daniela & Zazzaro, Alberto, 2019. "Financial dependence and growth: The role of input-output linkages," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 308-328.
    5. Jan Fagerberg & Martin Srholec, 2017. "Global Dynamics, Capabilities and the Crisis," Economic Complexity and Evolution, in: Andreas Pyka & Uwe Cantner (ed.), Foundations of Economic Change, pages 83-106, Springer.
    6. Tongurai, Jittima & Vithessonthi, Chaiporn, 2018. "The impact of the banking sector on economic structure and growth," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 193-207.
    7. Joya, Omar, 2015. "Growth and volatility in resource-rich countries: Does diversification help?," Structural Change and Economic Dynamics, Elsevier, vol. 35(C), pages 38-55.
    8. Slesman, Ly & Baharumshah, Ahmad Zubaidi & Azman-Saini, W.N.W., 2019. "Political institutions and finance-growth nexus in emerging markets and developing countries: A tale of one threshold," The Quarterly Review of Economics and Finance, Elsevier, vol. 72(C), pages 80-100.
    9. Samargandi, Nahla & Fidrmuc, Jan & Ghosh, Sugata, 2015. "Is the Relationship Between Financial Development and Economic Growth Monotonic? Evidence from a Sample of Middle-Income Countries," World Development, Elsevier, vol. 68(C), pages 66-81.
    10. repec:zbw:bofitp:urn:nbn:fi:bof-201505061169 is not listed on IDEAS
    11. Bennani, T. & Després, M. & Dujardin, M. & Duprey, T. & Kelber, A., 2014. "Macroprudential framework:key questions applied to the French case," Occasional papers 9, Banque de France.
    12. Jan Kakes & Rob Nijskens, 2018. "Size of the banking sector: implications for financial stability," DNB Occasional Studies 1606, Netherlands Central Bank, Research Department.
    13. Jérôme Creel & Paul Hubert & Fabien Labondance, 2023. "Credit, banking fragility, and economic performance," Oxford Economic Papers, Oxford University Press, vol. 75(2), pages 553-573.
    14. Marta de la Cuesta-González & Cristina Ruza & José M. Rodríguez-Fernández, 2020. "Rethinking the Income Inequality and Financial Development Nexus. A Study of Nine OECD Countries," Sustainability, MDPI, vol. 12(13), pages 1-18, July.
    15. Hasan, Iftekhar & Horvath, Roman & Mares, Jan, 2020. "Finance and wealth inequality," Journal of International Money and Finance, Elsevier, vol. 108(C).
    16. Nizar El Ouni & Faouzi Miled & Manelle Lahdhiri, 2014. "Disconnection between the Financial Sphere and the Real Sphere: Theoretical Foundations and Empirical Investigation," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 4(4), pages 95-103, October.
    17. Can Xu & Jan P. A. M. Jacobs & Jakob de Haan, 2023. "Does Household Borrowing Reduce the Trade Balance? Evidence from Developing and Developed Countries," Open Economies Review, Springer, vol. 34(4), pages 759-787, September.
    18. Elya Nabila Abdul Bahri & Abu Hassan Shaari Md Nor & Tamat Sarmidi & Nor Hakimah Haji Mohd Nor, 2019. "The Role of Financial Development in the Relationship Between Foreign Direct Investment and Economic Growth: A Nonlinear Approach," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(02), pages 1-32, June.
    19. repec:spo:wpmain:info:hdl:2441/4712tvppdq9m6q5i7t579thpvf is not listed on IDEAS
    20. Gerald Epstein, 2014. "Restructuring finance to promote productive employment," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 11(2), pages 161-170, September.
    21. Botta, Alberto & Caverzasi, Eugenio & Russo, Alberto, 2022. "When complexity meets finance: A contribution to the study of the macroeconomic effects of complex financial systems," Research Policy, Elsevier, vol. 51(8).
    22. Ebrahimi Kahou, Mahdi & Lehar, Alfred, 2017. "Macroprudential policy: A review," Journal of Financial Stability, Elsevier, vol. 29(C), pages 92-105.

    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:jas:jasssj:2019-122-3. 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: Francesco Renzini (email available below). General contact details of provider: .

    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.