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Examination of the directions of spillover effects between the real estate and stock prices in Poland using wavelet analysis

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  • Marcin Koltuniak

    (Warsaw School of Economics, Collegium of Business Administration)

Abstract

The main purpose of this article is to discuss the existence of the spillover effects between the direct real estate, indirect real estate (real estate company stocks) and stock market price indices in Poland and to verify whether the directions of these relationships are stable in the time and frequency domains. For this purpose we have used wavelet analysis methods, such as wavelet coherency and wavelet phase difference analyses, which allow to check the indicated stability and detecting dates of any potential structural changes. The results have not confirmed the hypothesis that the directions of these relationships were constant in the examined period of 2004 Q4 – 2014 Q4, which indicates the existence of structural changes. This means that diffusion scenarios of crises opposite to the 2007−2008 global crisis scenarios, when local property pricing collapses resulted in the global financial crisis, would also be possible. Consequently, the indicated results disprove the usefulness of the knowledge on the current directions of these effects in terms of projecting and/or monitoring the long-term macroprudential or long-term housing policies in Poland, and also give some new insights into investment policy issues.

Suggested Citation

  • Marcin Koltuniak, 2016. "Examination of the directions of spillover effects between the real estate and stock prices in Poland using wavelet analysis," Bank i Kredyt, Narodowy Bank Polski, vol. 47(3), pages 251-266.
    • Handle: RePEc:nbp:nbpbik:v:47:y:2016:i:3:p:251-266
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    References listed on IDEAS

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    1. Mandler, Martin & Scharnagl, Michael, 2014. "Money growth and consumer price inflation in the euro area: A wavelet analysis," Discussion Papers 33/2014, Deutsche Bundesbank.
    2. Panayotis Kapopoulos & Fotios Siokis, 2005. "Stock and real estate prices in Greece: wealth versus 'credit-price' effect," Applied Economics Letters, Taylor & Francis Journals, vol. 12(2), pages 125-128.
    3. Luís Aguiar-Conraria & Maria Soares, 2011. "Oil and the macroeconomy: using wavelets to analyze old issues," Empirical Economics, Springer, vol. 40(3), pages 645-655, May.
    4. Elias Oikarinen & Martin Hoesli & Camilo Serrano, 2013. "Do Public Real Estate Returns Really Lead Private Returns?," ERES eres2013_145, European Real Estate Society (ERES).
    5. Okunev, John & Wilson, Patrick & Zurbruegg, Ralf, 2000. "The Causal Relationship between Real Estate and Stock Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 21(3), pages 251-261, November.
    6. Aguiar-Conraria, LuI´s & Joana Soares, Maria, 2011. "Business cycle synchronization and the Euro: A wavelet analysis," Journal of Macroeconomics, Elsevier, vol. 33(3), pages 477-489, September.
    7. F.C. Neil Myer & James R. Webb, 1993. "Return Properties of Equity REITs, Common Stocks, and Commercial Real Estate: A Comparison," Journal of Real Estate Research, American Real Estate Society, vol. 8(1), pages 87-106.
    8. Rua, António & Nunes, Luís C., 2009. "International comovement of stock market returns: A wavelet analysis," Journal of Empirical Finance, Elsevier, vol. 16(4), pages 632-639, September.
    9. Luís Francisco Aguiar & Maria Joana Soares, 2010. "The Continuous Wavelet Transform: A Primer," NIPE Working Papers 23/2010, NIPE - Universidade do Minho.
    10. Aguiar-Conraria, Luís & Azevedo, Nuno & Soares, Maria Joana, 2008. "Using wavelets to decompose the time–frequency effects of monetary policy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 2863-2878.
    11. Luís Aguiar-Conraria & Maria Joana Soares, 2014. "The Continuous Wavelet Transform: Moving Beyond Uni- And Bivariate Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 28(2), pages 344-375, April.
    12. Li, Xiao-Lin & Chang, Tsangyao & Miller, Stephen M. & Balcilar, Mehmet & Gupta, Rangan, 2015. "The co-movement and causality between the U.S. housing and stock markets in the time and frequency domains," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 220-233.
    13. Reboredo, Juan C. & Rivera-Castro, Miguel A., 2014. "Wavelet-based evidence of the impact of oil prices on stock returns," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 145-176.
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    More about this item

    Keywords

    real estate market; real estate company stocks; spillover effects;
    All these keywords.

    JEL classification:

    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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