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The Co-Movement and Causality between the U.S. Real Estate and Stock Markets in the Time and Frequency Domains

Author

Listed:
  • Tsangyao Chang

    (Department of Finance, Feng Chia University, Taichung, Taiwan)

  • Xiao-lin Li

    (Department of Finance, School of Economics and Management, Wuhan University, Wuhan, China)

  • Stephen M. Miller

    (Department of Economics, University of Nevada, Las Vegas, Las Vegas, Nevada, 89154-6005 USA)

  • Mehmet Balcilar

    (Department of Economics, Eastern Mediterranean University, Famagusta, North Cyprus,via Mersin 10, Turkey)

  • Rangan Gupta

    (Department of Economics, University of Pretoria)

Abstract

This study applies wavelet analysis to examine the relationship between the U.S. real estate and stock markets over the period 1890-2012. Wavelet analysis allows the simultaneous examination of co-movement and causality between the two markets in both the time and frequency domains. Our findings provide robust evidence that co-movement and causality vary across frequencies and evolve with time. Examining market co-movement in the time domain, the two markets exhibit positive co-movement over recent past decades, exception for 1998-2002 when a high negative co-movement emerged. In the frequency domain, the two markets correlate with each other mainly at low frequencies (longer term), except in the second half of the 1900s as well as in 1998-2002, when the two markets correlate at high frequencies (shorter term). In addition, we find that the causal effects between the markets in the frequency domain occur generally at low frequencies (longer term). In the time-domain, the time-varying nature of long-run causalities implies structural changes in the two markets. These findings provide a more complete picture of the relationship between the U.S. real estate and stock markets over time and frequency, offering important implications for policymakers and practitioners.

Suggested Citation

  • 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 201365, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:201365
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    2. Yonghong Jiang & Mengmeng Yu & Shabir Mohsin Hashmi, 2017. "The Financial Crisis and Co-Movement of Global Stock Markets—A Case of Six Major Economies," Sustainability, MDPI, vol. 9(2), pages 1-18, February.
    3. Dong, Minyi & Chang, Chun-Ping & Gong, Qiang & Chu, Yin, 2019. "Revisiting global economic activity and crude oil prices: A wavelet analysis," Economic Modelling, Elsevier, vol. 78(C), pages 134-149.
    4. Chi-Wei SU & Zong-Liang YAO & Hsu-Ling CHANG, 2016. "The relationship between output and asset prices: A time – and frequency – varying approach," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(1(606), S), pages 57-76, Spring.
    5. Nazlioglu, Saban & Gormus, N. Alper & Soytas, Uğur, 2016. "Oil prices and real estate investment trusts (REITs): Gradual-shift causality and volatility transmission analysis," Energy Economics, Elsevier, vol. 60(C), pages 168-175.

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    Keywords

    Stock market; real estate market; wavelet analysis; frequency domain; time domain;
    All these keywords.

    JEL classification:

    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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