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Long- and Short-Run Relationships between House and Stock Prices in South Africa: A Nonparametric Approach

Author

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  • Goodness Aye
  • Mehmet Balcilar
  • Rangan Gupta

Abstract

This paper provides empirical evidence on the long- and short-run relationships between real house and stock prices of South Africa. Standard linear tests may not detect the existence of these relationships between time series especially in the presence of structural shifts or regime changes, which, in turn, may cause nonlinearities in the observed series. Thus, in this study, both linear and nonparametric cointegration and Granger causality tests were conducted. Results from the linear cointegration test showed no long-run relationship between house and stock prices. The linear Granger causality test produced no evidence of causality either. In contrast, the nonparametric cointegration test revealed a long-run one-to-one relationship between the two series, with the nonparametric Granger causality test indicating a bi-directional causality. Therefore, stability in the housing market drives stability in the equity market and vice versa.

Suggested Citation

  • Goodness Aye & Mehmet Balcilar & Rangan Gupta, 2013. "Long- and Short-Run Relationships between House and Stock Prices in South Africa: A Nonparametric Approach," Journal of Housing Research, Taylor & Francis Journals, vol. 22(2), pages 203-219, January.
    • Handle: RePEc:taf:rjrhxx:v:22:y:2013:i:2:p:203-219
    DOI: 10.1080/10835547.2013.12092078
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    Citations

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    Cited by:

    1. Goodness C. Aye & Mehmet Balcilar & Rangan Gupta & Charl Jooste & Stephen M. Miller & Zeynel A. Ozdemir, 2012. "Fiscal Policy Shocks and the Dynamics of Asset Prices: The South African Experience," Working Papers 201228, University of Pretoria, Department of Economics.
    2. Tsangyao Chang & Xiao-lin Li & Stephen M. Miller & Mehmet Balcilar & Rangan Gupta, 2013. "The Co-Movement and Causality between the U.S. Real Estate and Stock Markets in the Time and Frequency Domains," Working papers 2013-34, University of Connecticut, Department of Economics.
    3. Rangan Gupta & Charl Jooste & Kanyane Matlou, 2014. "A time-varying approach to analysing fiscal policy and asset prices in South Africa," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 6(1), pages 46-63, April.
    4. Ding, Haoyuan & Chong, Terence Tai-leung & Park, Sung Y., 2014. "Nonlinear dependence between stock and real estate markets in China," Economics Letters, Elsevier, vol. 124(3), pages 526-529.
    5. Hao, Jing & He, Feng, 2018. "Univariate dependence among sectors in Chinese stock market and systemic risk implication," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 355-364.
    6. Alexander Zimper, 2014. "The minimal confidence levels of Basel capital regulation," Journal of Banking Regulation, Palgrave Macmillan, vol. 15(2), pages 129-143, April.
    7. Luis A. Gil-Alana & Goodness C. Aye & Rangan Gupta, 2012. "Testing for Persistence with Breaks and Outliers in South African House Prices," Working Papers 201233, University of Pretoria, Department of Economics.

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    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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