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



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.


Dynamic relationship Housing value Interest rate Cointegration and spectral analysis Transfer function model Long term equilibrium 


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  1. Anari A, Kolari J (2002) House prices and inflation. Real Estate Econ 30(1):67–84CrossRefGoogle Scholar
  2. Bernanke BS, AS Blinder (1992) The federal funds rate and the channels of monetary transmission. Am Econ Rev 82(4):901–921Google Scholar
  3. Bloomfield P (2000) Fourier analysis of time series an introduction. John & Sons, Inc, New YorkGoogle Scholar
  4. Cho DH, Park CG, Ma SR (2004) A study on the adoption of reverse mortgage system. Korean Financial Supervisory ServiceGoogle Scholar
  5. Choi B (1995) Multivariate time series analysis. Sekyounsa, KoreaGoogle Scholar
  6. Fisher I (1930) The theory of interest. Macmillan, New York, NYGoogle Scholar
  7. Ji H (1999) Business cycle relation of stock, bond and housing market. Bus Manage Stud 27(5):1277–1296Google Scholar
  8. Kim M, Chang G (1998) Financial time series analysis (printed in Korean). KyungmoonsaGoogle Scholar
  9. Koopmants LH (1995) The spectral analysis of time series. Academic Press, Inc, CaliforniaGoogle Scholar
  10. Ma S (2002) Cycle analysis of stock value, interest rate, business conditions. J Risk Manag Study 11(11):183–215Google Scholar
  11. Park US, Heu MH (1999) Time series data analysis. Jayou Academy, KoreaGoogle Scholar
  12. Patterson K (2000) An introduction to applied econometrics: a time series approach. St. Martin's Press, New YorkGoogle Scholar
  13. Quan DC, Titman S (1999) Do housing values and stock values move together? An international analysis. Hous Econ 27(2):183–207Google Scholar
  14. Stone D, Ziemba T (1993) Land and stock values in Japan. J Econ Perspect 7(3):149–165Google Scholar
  15. Vandaele W (1983) Applied time series and box–Jenkins models. Academic Press, IncGoogle Scholar
  16. Warner RM (1998) Spectral analysis of time-series data. The Guilford Press, New YorkGoogle Scholar
  17. Wheaton WC (1987) The cyclic behavior of the National Office Market. AREUEA J 15(4):281–299Google Scholar
  18. Wheaton WC (1999) Housing cycles some fundamentals. J Hous Econ 27(2):109–230Google Scholar
  19. Yaffee R, Monnie MG (2000) Introduction to time series analysis and forecasting with applications of SAS and SPSS. Academic Press, IncGoogle Scholar
  20. Yun J (2001) The study on the prospect of land and housing market through the building of VAR model. Korean Research Institute for Human SettlementGoogle Scholar

Copyright information

© Springer Science + Business Media, Inc. 2006

Authors and Affiliations

  1. 1.Department of Public AdministrationDaegu University, Jinrang, GyeongsanGyeongsanRepublic of Korea

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