IDEAS home Printed from https://ideas.repec.org/a/kap/jrefec/v32y2006i2p169-184.html
   My bibliography  Save this article

Dynamic Relationship between Housing Values and Interest Rates in the Korean Housing Market

Author

Listed:
  • Deokho Cho
  • Seungryul Ma

Abstract

The goal of this study is to identify the long-term relationship between housing values and interest rates in the Korean housing market, using the cointegration test and spectral analysis. The result shows a long-term negative (–) equilibrium relationship between housing values and interest rates. Moreover, the Granger causality test for confirming the short-term dynamic relationship between these variables shows one-way causality from interest rate to the growth rate of housing values, while the transfer function model demonstrates concretely the causal structure of this relationship. These findings suggest that the interest rate adjustment policy in the Korean housing market can work very effectively and will contribute to forecasting the growth rate of future housing values. Copyright Springer Science + Business Media, Inc. 2006

Suggested Citation

  • Deokho Cho & Seungryul Ma, 2006. "Dynamic Relationship between Housing Values and Interest Rates in the Korean Housing Market," The Journal of Real Estate Finance and Economics, Springer, vol. 32(2), pages 169-184, March.
    • Handle: RePEc:kap:jrefec:v:32:y:2006:i:2:p:169-184
    DOI: 10.1007/s11146-006-6013-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11146-006-6013-6
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11146-006-6013-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. William C. Wheaton, 1987. "The Cyclic Behavior of the National Office Market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 15(4), pages 281-299, December.
    2. Bernanke, Ben S & Blinder, Alan S, 1992. "The Federal Funds Rate and the Channels of Monetary Transmission," American Economic Review, American Economic Association, vol. 82(4), pages 901-921, September.
    3. Ali Anari & James Kolari, 2002. "House Prices and Inflation," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 30(1), pages 67-84.
    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. Insoo Baek & Sanghyo Lee & Joosung Lee & Jaejun Kim, 2021. "Analysis of Housing Market Dynamics Considering the Structural Characteristics of Mortgage Interest," Sustainability, MDPI, vol. 13(19), pages 1-15, September.
    2. Huayi Yu, 2015. "The spillovers and heterogeneous responses of housing prices: a GVAR analysis of China's 35 major cities," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 20(4), pages 535-558, October.
    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. Kim, Joseph H.T. & Li, Johnny S.H., 2017. "Risk-neutral valuation of the non-recourse protection in reverse mortgages: A case study for Korea," Emerging Markets Review, Elsevier, vol. 30(C), pages 133-154.
    5. Sae Park & Doo Bahng & Yun Park, 2010. "Price Run-up in Housing Markets, Access to Bank Lending and House Prices in Korea," The Journal of Real Estate Finance and Economics, Springer, vol. 40(3), pages 332-367, April.
    6. Heeho Kim & SaeWoon Park & Sun Hye Lee, 2012. "House Price and Bank Lending in a Premium Submarket in Korea," International Real Estate Review, Global Social Science Institute, vol. 15(1), pages 1-42.

    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. Kui-Wai Li, 2013. "The US monetary performance prior to the 2008 crisis," Applied Economics, Taylor & Francis Journals, vol. 45(24), pages 3450-3461, August.
    2. Evans, Charles L. & Marshall, David A., 2007. "Economic determinants of the nominal treasury yield curve," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 1986-2003, October.
    3. Filippo Occhino, 2001. "Monetary Policy Shocks in an Economy with Segmented Markets," Departmental Working Papers 200108, Rutgers University, Department of Economics.
    4. Brissimis, Sophocles N. & Kamberoglou, Nicos C. & Simigiannis, George T., 2001. "Is there a bank lending channel of monetary policy in Greece? Evidence from bank level data," Working Paper Series 104, European Central Bank.
    5. Sandra Eickmeier & Boris Hofmann & Andreas Worms, 2009. "Macroeconomic Fluctuations and Bank Lending: Evidence for Germany and the Euro Area," German Economic Review, Verein für Socialpolitik, vol. 10(2), pages 193-223, May.
    6. Francisco de Castro, 2006. "The macroeconomic effects of fiscal policy in Spain," Applied Economics, Taylor & Francis Journals, vol. 38(8), pages 913-924.
    7. Jamie Armour & Walter Engert & Ben Fung, 1996. "Overnight Rate Innovations as a measure of monetary Policy Shocks in Vector Autoregressions," Staff Working Papers 96-4, Bank of Canada.
    8. Lloyd, S. P., 2017. "Unconventional Monetary Policy and the Interest Rate Channel: Signalling and Portfolio Rebalancing," Cambridge Working Papers in Economics 1735, Faculty of Economics, University of Cambridge.
    9. Agiakloglou, Christos & Gkouvakis, Michail, 2015. "Causal interrelations among market fundamentals: Evidence from the European Telecommunications sector," The Quarterly Review of Economics and Finance, Elsevier, vol. 55(C), pages 150-159.
    10. Xavier Ragot, 2005. "A theory of low inflation in a non Ricardian economy with credit constraints," PSE Working Papers halshs-00590788, HAL.
    11. Croushore, Dean & Evans, Charles L., 2006. "Data revisions and the identification of monetary policy shocks," Journal of Monetary Economics, Elsevier, vol. 53(6), pages 1135-1160, September.
    12. Peydró, José-Luis & Jasova, Martina & Mendicino, Caterina & Panetti, Ettore & Supera, Dominik, 2021. "Monetary Policy, Labor Income Redistribution and the Credit Channel: Evidence from Matched Employer-Employee and Credit Registe," CEPR Discussion Papers 16549, C.E.P.R. Discussion Papers.
    13. Miglena Stoyanova, 2022. "Applicability Of Blockchain Technology For Digital Transformation Of Construction," INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE "CONSTRUCTION ENTREPRENEURSHIP AND REAL PROPERTY", University of Economics - Varna, issue 1, pages 137-144.
    14. Chetan Dave & Scott J. Dressler & Lei Zhang, 2020. "Bank Lending, Monetary Policy Transmission, and Interest on Excess Reserves: a FAVAR Analysis," Villanova School of Business Department of Economics and Statistics Working Paper Series 44, Villanova School of Business Department of Economics and Statistics.
    15. Jose A. Zabala & Maria A. Prats, 2020. "The unconventional monetary policy of the European Central Bank: Effectiveness and transmission analysis," The World Economy, Wiley Blackwell, vol. 43(3), pages 794-809, March.
    16. Virginie Coudert & Benoît Mojon, 1997. "Asymétries financières et transmission de la politique monétaire en Europe," Économie et Prévision, Programme National Persée, vol. 128(2), pages 41-60.
    17. Dickinson, David & Liu, Jia, 2007. "The real effects of monetary policy in China: An empirical analysis," China Economic Review, Elsevier, vol. 18(1), pages 87-111.
    18. Fan, Longzhen & Yu, Yihong & Zhang, Chu, 2011. "An empirical evaluation of China's monetary policies," Journal of Macroeconomics, Elsevier, vol. 33(2), pages 358-371, June.
    19. Gordon, David B & Leeper, Eric M, 1994. "The Dynamic Impacts of Monetary Policy: An Exercise in Tentative Identification," Journal of Political Economy, University of Chicago Press, vol. 102(6), pages 1228-1247, December.
    20. Gert Peersman, 2005. "What caused the early millennium slowdown? Evidence based on vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 185-207.

    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:kap:jrefec:v:32:y:2006:i:2:p:169-184. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.