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An agent-based model for the assessment of LTV caps

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  • Laliotis, Dimitrios
  • Buesa, Alejandro
  • Leber, Miha
  • Población García, Francisco Javier

Abstract

We assess the effects of regulatory caps in the loan-to-value (LTV) ratio using agent-based models (ABMs). Our approach builds upon a straightforward ABM where we model the interactions of sellers, buyers and banks within a computational framework that enables the application of LTV caps. The results are first presented using simulated data and then we calibrate the probability distributions based on actual European data from the HFCS survey. The results suggest that this approach can be viewed as a useful alternative to the existing analytical frameworks for assessing the impact of macroprudential measures, mainly due to the very few assumptions the method relies upon and the ability to easily incorporate additional and more complex features related to the behavioral response of borrowers to such measures. JEL Classification: D14, D31, E50, R21

Suggested Citation

  • Laliotis, Dimitrios & Buesa, Alejandro & Leber, Miha & Población García, Francisco Javier, 2019. "An agent-based model for the assessment of LTV caps," Working Paper Series 2294, European Central Bank.
    • Handle: RePEc:ecb:ecbwps:20192294
    Note: 2120245
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    Cited by:

    1. 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.
    2. Bauermann, Tom & Roos, Michael W. M. & Schaff, Frederik, 2020. "POSA: Policy implementation sensitivity analysis," Ruhr Economic Papers 854, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    3. Mérő, Bence & Borsos, András & Hosszú, Zsuzsanna & Oláh, Zsolt & Vágó, Nikolett, 2023. "A high-resolution, data-driven agent-based model of the housing market," Journal of Economic Dynamics and Control, Elsevier, vol. 155(C).
    4. Deepeka Garg & Benjamin Patrick Evans & Leo Ardon & Annapoorani Lakshmi Narayanan & Jared Vann & Udari Madhushani & Makada Henry-Nickie & Sumitra Ganesh, 2024. "A Heterogeneous Agent Model of Mortgage Servicing: An Income-based Relief Analysis," Papers 2402.17932, arXiv.org, revised Feb 2024.
    5. Adrian Carro, 2022. "Could Spain be less different? Exploring the effects of macroprudential policy on the house price cycle," Working Papers 2230, Banco de España.
    6. Tarne, Ruben & Bezemer, Dirk & Theobald, Thomas, 2022. "The effect of borrower-specific loan-to-value policies on household debt, wealth inequality and consumption volatility: An agent-based analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).

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    More about this item

    Keywords

    borrower-based measures; HFCS survey; house prices; macroprudential policy;
    All these keywords.

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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