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Keresletvezérelt lakáspiaci modell a lakáshitelezést szabályozó makro prudenciális eszközök tanulmányozására
[A demand-led model of the housing market for studying the macro-prudential means of regulating housing loans]

Author

Listed:
  • Mérő, Bence
  • Vágó, Nikolett

Abstract

A makroprudenciális politika egyik feladata a lakáshitelezés folyamán fellépő rendszerszintű kockázatok csökkentése. A nemteljesítés valószínűségét és az ebből fakadó hitelezési veszteségeket minden hitelnél egyedi jellemzők befolyásolják, ezért a makroprudenciális eszközök bankrendszeri stabilitásra gyakorolt hatásának vizsgálatához olyan ágensalapú lakáspiaci modellt fejlesztettünk, amely lehetőséget ad a háztartások kellő mértékű heterogenitásának szerepeltetésére. A modellt egymillió háztartással futtattuk, amelyek jellemzőit magyar adatbázisok felhasználásával generáltuk. A lakáspiac keresletvezérelt, a háztartások döntését preferenciájuk, jövedelmük és a makroprudenciális szabályokból fakadó hitelezési korlátok határozzák meg. Megvizsgáljuk, hogy a jövedelemarányos törlesztőrészletre és a hitelfedezeti mutatóra vonatkozó korlátok különböző kombinációi mellett hogyan alakul a bankrendszer jövedelmezősége, stabilitása, valamint a háztartások jóléte. Az egyes kombinációk megítélése függ a sokkokra vonatkozó feltételezésektől és a döntéshozó preferenciájától, mivel a bankok jövedelmezőségét és a háztartások jólétét eltérően befolyásolják az adósságfékszabályok. A modell eredményei alapján a bankrendszer hosszú távú jövedelmezősége szempontjából nem célszerű a jelenlegi 80 százalékos hitelfedezeti korlátnál szigorúbb előírást alkalmazni.* Journal of Economic Literature (JEL) kód: C63, G21, G28, R21.

Suggested Citation

  • Mérő, Bence & Vágó, Nikolett, 2018. "Keresletvezérelt lakáspiaci modell a lakáshitelezést szabályozó makro prudenciális eszközök tanulmányozására [A demand-led model of the housing market for studying the macro-prudential means of reg," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1115-1153.
  • Handle: RePEc:ksa:szemle:1803
    DOI: 10.18414/KSZ.2018.11.1115
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    References listed on IDEAS

    as
    1. Rubio, Margarita & Carrasco-Gallego, José A., 2014. "Macroprudential and monetary policies: Implications for financial stability and welfare," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 326-336.
    2. Kuang, Pei, 2014. "A model of housing and credit cycles with imperfect market knowledge," European Economic Review, Elsevier, vol. 70(C), pages 419-437.
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    6. Matteo Iacoviello, 2005. "House Prices, Borrowing Constraints, and Monetary Policy in the Business Cycle," American Economic Review, American Economic Association, vol. 95(3), pages 739-764, June.
    7. Bulent Ozel & Reynold Christian Nathanael & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2019. "Macroeconomic implications of mortgage loan requirements: an agent-based approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(1), pages 7-46, March.
    8. Nobuhiro Kiyotaki & Alexander Michaelides & Kalin Nikolov, 2011. "Winners and Losers in Housing Markets," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43, pages 255-296, March.
    9. Margarita Rubio & Mariarosaria Comunale, 2017. "Lithuania in the Euro Area: Monetary Transmission and Macroprudential Policies," Eastern European Economics, Taylor & Francis Journals, vol. 55(1), pages 29-49, January.
    10. Kannan Prakash & Rabanal Pau & Scott Alasdair M., 2012. "Monetary and Macroprudential Policy Rules in a Model with House Price Booms," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(1), pages 1-44, June.
    11. 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.
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    More about this item

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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