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Analysing the relationship between global REITs and exchange rates: Fresh evidence from frequency-based quantile regressions

Author

Listed:
  • Kola Ijasan

    (School of Construction Economics and Management, University of the Witwatersrand, Johannesburg, South Africa.)

  • Peterson Owusu Junior

    (Department of Finance, School of Business, University of Cape Coast, Cape Coast, Ghana)

  • George Tweneboah

    (Wits Business School, University of the Witwatersrand, Johannesburg, South Africa)

  • Tunbosun Oyedokun

    (School of Social and Political Sciences, University of Glasgow, Glasgow, United Kingdom)

  • Anokye M. Adam

    (Department of Finance, School of Business, University of Cape Coast, Cape Coast, Ghana)

Abstract

This paper contributes to knowledge by investigating the asymmetric dependence structure between the real estate investment trusts (REITs) and currencies from Europe, North America, Asia, and Australasia. We employ the Ensemble Empirical Mode Decomposition (EEMD) technique to decompose price return series into short-term, medium-term, and long-term scales termed as Intrinsic Mode Functions (IMFs) and further examine the asymmetric association between selected country REITs indices and their respective exchange rates (against the dollar) using both Quantile Regression Analysis (QRA) and Quantile-in-Quantile Regression (QQR) techniques. Both QRA and QQR adequately capture the frequency-variant asymmetric link between REITs and exchange rates across different geographical locations. Associations are similar for Australia, Canada, France, and New Zealand as a group and Germany, Hong Kong, Japan, and Singapore as another group in terms of direction, magnitudes, and at which time horizons they occur. Positive and negative associations in Asia are the strongest across quantiles in the long-term. The study reveals the effect of exchange rates on the selected REITs market and the important role played by currencies in the decision-making process of international investors. We contribute to the literature adaptive market hypothesis (AMH) and heterogeneous market hypothesis (HMH). The frequency-based quantile regressions address non-linearity, asymmetry, time-horizon dependent, and non-homogeneous relationships in the markets espoused by both AMH and HMH. Furthermore, we contribute to the literature by employing a noise-reduction technique to the relationship between REITs and exchange rates. This approach reinforces the inefficient market hypothesis in the REITs-macroeconomic nexus. Findings from this study engender new insights into REITs investments in light of exchange rate fluctuations amidst market inefficiencies.

Suggested Citation

  • Kola Ijasan & Peterson Owusu Junior & George Tweneboah & Tunbosun Oyedokun & Anokye M. Adam, 2021. "Analysing the relationship between global REITs and exchange rates: Fresh evidence from frequency-based quantile regressions," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(3), pages 58-91, September.
    • Handle: RePEc:aag:wpaper:v:25:y:2021:i:3:p:58-91
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    Cited by:

    1. Armah, Mohammed & Amewu, Godfred, 2024. "Quantile dependence and asymmetric connectedness between global financial market stress and REIT returns: Evidence from the COVID-19 pandemic," The Journal of Economic Asymmetries, Elsevier, vol. 29(C).
    2. Bossman, Ahmed & Umar, Zaghum & Teplova, Tamara, 2022. "Modelling the asymmetric effect of COVID-19 on REIT returns: A quantile-on-quantile regression analysis," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    3. Bossman, Ahmed & Umar, Zaghum & Agyei, Samuel Kwaku & Junior, Peterson Owusu, 2022. "A new ICEEMDAN-based transfer entropy quantifying information flow between real estate and policy uncertainty," Research in Economics, Elsevier, vol. 76(3), pages 189-205.

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    More about this item

    Keywords

    Empirical mode decomposition; Exchange rates; REITs; Quantile regressions; Frequency-dependence; Intrinsic Mode Function;
    All these keywords.

    JEL classification:

    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • E40 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - General

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