IDEAS home Printed from https://ideas.repec.org/a/wsd/irgpim/v88y2012i1p85-118.html
   My bibliography  Save this article

Cykl mieszkaniowy a system bankowy – przypadek Polski [ Housing Cycle v. Banking System – Poland’s Case ]

Author

Listed:
  • Maria Lissowska
  • Jolanta Szulfer

Abstract

Przedmiotem opracowania jest cykliczność rynku mieszkaniowego w Polsce i wyjaśnienie faktu, Ŝe przebieg cyklu mieszkaniowego nie doprowadził anido znacznej recesji na rynku mieszkaniowym, ani do złamania stabilnosci systemu bankowego. Tłem teoretycznym rozwaŜańjest mechanizm cyklu mieszkaniowego i tezy na temat wpływu kredytowania na cykl gospodarczy. Przedstawione zostały podstawowe przyczyny ryzykowności kredytowania mieszkalnictwa w Polsce: jego zdominowanie przez banki uniwersalne (poddane mniej restrykcyjnym zasadom działania niŜ hipoteczne), niepełna skutecznośćzabezpieczenia hipotecznego, niewłaściwa struktura terminowa finansowania mieszkalnictwa przez banki uniwersalne, duŜy zakres kredytowania w walutach obcych. Jednak z powodu trwałych czynników ograniczających podaŜ mieszkań i popyt na nie nie doszło do powstania nadmiernej „bańki cenowej” na tym rynku. Znaczącym czynnikiem ograniczającym amplitudę cyklu mieszkaniowego były cechy strukturalne polskiej bankowości: brak sekurytyzacji, wprowadzenie we właściwym czasie rekomendacji nadzoru finansowego, późne wystąpienie luki finansowania. Występuje jednak potrzeba rozwinięcia pozadepozytowych źródeł finansowania kredytów mieszkaniowcyh w bankach uniwersalnych. W perspektywie kilkuletniej moŜe być to sekurytyzacja, albo emisja listów zastawnych przez same banki uniwersalne, albo teŜ sprzedaŜ kredytów mieszkaniowych do banków hipotecznych.Tylko ostatnia z tych metod wystarczająco zabezpiecza przed nadmiernym rozwojem akcji kredytowej. [ The subject of the research paper is cyclical character of housing market in Poland and explanation to the fact that the housing market cycle has neither resulted in a significant recession in this market nor in collapse of the banking system. The setting for these theoretical considerations is the housing cycle mechanism as well as the theses regarding the impact of credit action on thebusiness cycle. The paper presents major reasons for risk factor in granting mortgage in Poland: creditors are mostly universal banks’, incomplete efficiency of collaterals, improper time structure of housing financing by universal banks and a widespread access to mortgages granted in foreign currencies. However, due to permanent impediments to both supply of and demand for apartments, the excessive ‘price bubble’ did not occur in this market. Moreover, a significant factor constraining the amplitude of the housing cycle has been structural features of the Polish banking system: lack of securitisation, implementing recommendations of financial supervision recommendations in timely manner, timedelayed occurrence of gap in financing. However, there is a need of enhancing pro-deposit sources of mortgage financing in universal banks. In several-years’ time span it could be securitisation, issuance of bills of exchange by the universal banks or sales of mortgages to mortgage banks. The latter is a sufficient protection against excessive growthof credit action. ]

Suggested Citation

  • Maria Lissowska & Jolanta Szulfer, 2012. "Cykl mieszkaniowy a system bankowy – przypadek Polski [ Housing Cycle v. Banking System – Poland’s Case ]," Prace i Materiały, Instytut Rozwoju Gospodarczego (SGH), vol. 88(1), pages 85-118.
  • Handle: RePEc:wsd:irgpim:v:88:y:2012:i:1:p:85-118
    as

    Download full text from publisher

    File URL: http://194.145.100.18/repec/files/wsd/irgpim/wsd_irgpim_v88_2012_i1_n4.pdf
    File Function: Main text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Frederic S. Mishkin, 2011. "Over the Cliff: From the Subprime to the Global Financial Crisis," Journal of Economic Perspectives, American Economic Association, vol. 25(1), pages 49-70, Winter.
    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. Mala Raghavan & Mardi Dungey, 2015. "Should ASEAN-5 monetary policy-makers act pre-emptively against stock market bubbles?," Applied Economics, Taylor & Francis Journals, vol. 47(11), pages 1086-1105, March.
    2. Alfred V Guender, 2015. "International Evidence on the Role of Monetary Policy in the Uncovered Interest Rate Parity Puzzle," Working Papers in Economics 15/15, University of Canterbury, Department of Economics and Finance.
    3. Dungey, Mardi & Milunovich, George & Thorp, Susan & Yang, Minxian, 2015. "Endogenous crisis dating and contagion using smooth transition structural GARCH," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 71-79.
    4. Celani, Alessandro & Cerchiello, Paola & Pagnottoni, Paolo, 2024. "The topological structure of panel variance decomposition networks," Journal of Financial Stability, Elsevier, vol. 71(C).
    5. Eric Swanson, 2015. "A Macroeconomic Model of Equities and Real, Nominal, and Defaultable Debt," 2015 Meeting Papers 273, Society for Economic Dynamics.
    6. Raddatz, Claudio & Schmukler, Sergio L., 2012. "On the international transmission of shocks: Micro-evidence from mutual fund portfolios," Journal of International Economics, Elsevier, vol. 88(2), pages 357-374.
    7. William H Greene & Mark N Harris & Christopher Spencer, 2013. "Estimating the Standard Errors of Individual-Specific Parameters in Random Parameters Models," Bankwest Curtin Economics Centre Working Paper series WP1309, Bankwest Curtin Economics Centre (BCEC), Curtin Business School.
    8. Gunay, Samet, 2020. "Seeking causality between liquidity risk and credit risk: TED-OIS spreads and CDS indexes," Research in International Business and Finance, Elsevier, vol. 52(C).
    9. Wanniarachchi, Sasindu Lakruwan, 2020. "The Nexus among External Debt and Economic Growth: Evidence from South Asia," OSF Preprints ghfdb, Center for Open Science.
    10. Lukáš Fiala & Petr Teplý, 2021. "The Use of Borrower-based Measures within Macroprudential Policy: Evidence from the European Economic Area," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2021(1), pages 71-91.
    11. Miao Zhu & Ben-Chang Shia & Meng Su & Jialin Liu, 2024. "Consumer Default Risk Portrait: An Intelligent Management Framework of Online Consumer Credit Default Risk," Mathematics, MDPI, vol. 12(10), pages 1-19, May.
    12. Hiranya Lahiri & Chandana Ghosh & Ambar Ghosh, 2016. "India’s Balance of Payments, Growth and Fiscal Policy," South Asian Journal of Macroeconomics and Public Finance, , vol. 5(1), pages 28-62, June.
    13. Marc Cowling & Weixi Liu & Raffaella Calabrese, 2022. "Has previous loan rejection scarred firms from applying for loans during Covid-19?," Small Business Economics, Springer, vol. 59(4), pages 1327-1350, December.
    14. Franco Fiordelisi & Ornella Ricci, 2016. "“Whatever it takes”: An Empirical Assessment of the Value of Policy Actions in Banking," Review of Finance, European Finance Association, vol. 20(6), pages 2321-2347.
    15. Alban Moura & Olivier Pierrard, 2022. "How well do DSGE models with real estate and collateral constraints fit the data?," BCL working papers 168, Central Bank of Luxembourg.
    16. Gorton, Gary & Metrick, Andrew & Xie, Lei, 2021. "The flight from maturity," Journal of Financial Intermediation, Elsevier, vol. 47(C).
    17. Rahim, Adam Mohamed & Masih, Mansur, 2016. "Portfolio diversification benefits of Islamic investors with their major trading partners: Evidence from Malaysia based on MGARCH-DCC and wavelet approaches," Economic Modelling, Elsevier, vol. 54(C), pages 425-438.
    18. Kaiping Wang, 2014. "Modeling Stock Index Returns using Semi-Parametric Approach with Multiplicative Adjustment," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 65-75, December.
    19. Michael Berlemann & Julia Freese & Sven Knoth, 2020. "Dating the start of the US house price bubble: an application of statistical process control," Empirical Economics, Springer, vol. 58(5), pages 2287-2307, May.

    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:wsd:irgpim:v:88:y:2012:i:1:p:85-118. 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: Konrad Walczyk (email available below). General contact details of provider: https://edirc.repec.org/data/irsghpl.html .

    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.