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A new ICEEMDAN-based transfer entropy quantifying information flow between real estate and policy uncertainty

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  • Bossman, Ahmed
  • Umar, Zaghum
  • Agyei, Samuel Kwaku
  • Junior, Peterson Owusu

Abstract

We quantify the dependence between real estate indices and global economic policy uncertainty for 12 top-advanced countries. Generally, real estate investments are found to be highly risky to information flow from global economic policy uncertainty. amidst policy uncertainty, we find diversification, safe haven, and hedging prospects – based on the market conditions – at short term frequencies only, for the pairs between (a) Japan and the US; (b) Singapore and the US; (c) China and Canada; (d) China and Hong Kong. Our findings underscore market efficiency (inefficiency) at mid-and long-term (short-term) frequencies. In the presence of policy uncertainty, our findings underscore the operability of ingrained market dynamics between real estate investments in the mid-and long-term horizons. It is prudent for investors to combine real estate investments with other asset classes that are less risky to (or are positive recipients of) information flow from global EPU to hedge against adverse market shocks from any asset in the portfolio based on market conditions. Practically, not only should legislations be flexible to the changing market trends in the short term, but they should also be strategically crafted to retain the fundamental market dynamics between real estate investments in the mid-and long-term economic horizons.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:reecon:v:76:y:2022:i:3:p:189-205
    DOI: 10.1016/j.rie.2022.07.002
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    1. Thobekile Qabhobho & Emmanuel Asafo-Adjei & Peterson Owusu Junior & Anokye M. Adam, 2022. "Quantifying information transfer between Commodities and Implied Volatilities in the Energy Markets: A Multi-frequency Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 12(5), pages 472-481, September.
    2. Zhang, Jinren & Cao, Jinde & Wu, Tao & Huang, Wei & Ma, Tao & Zhou, Xinye, 2023. "A novel adaptive multi-scale Rényi transfer entropy based on kernel density estimation," Chaos, Solitons & Fractals, Elsevier, vol. 175(P1).
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    4. Bossman, Ahmed & Agyei, Samuel Kwaku, 2022. "Interdependence structure of global commodity classes and African equity markets: A vector wavelet coherence analysis," Resources Policy, Elsevier, vol. 79(C).

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