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A measure of quantile-on-quantile connectedness for the US treasury yield curve spread, the US Dollar, and gold price

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  • Wang, Mei-Chih
  • Chang, Tsangyao
  • Mikhaylov, Alexey
  • Linyu, Jia

Abstract

This study applies the Quantile-on-Quantile Connectedness approach to analyze quantile spillovers between the US yield curve spread (10-year vs. 2-year Treasury yields), the US dollar, and gold price from 2 January 2000 to 31 July 2023, covering the COVID-19 pandemic. Our results show that inversely related quantiles demonstrate significantly higher average total connectedness than directly related quantiles among these variables. Additionally, we found that this quantile-based connectedness fluctuates over time, suggesting a dynamic and varied relationship between the US yield spread, the US dollar, and gold prices throughout the period studied.

Suggested Citation

  • Wang, Mei-Chih & Chang, Tsangyao & Mikhaylov, Alexey & Linyu, Jia, 2024. "A measure of quantile-on-quantile connectedness for the US treasury yield curve spread, the US Dollar, and gold price," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
    • Handle: RePEc:eee:ecofin:v:74:y:2024:i:c:s1062940824001578
    DOI: 10.1016/j.najef.2024.102232
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    More about this item

    Keywords

    Quantile-on-quantile connectedness; Financial market dynamics; Quantile spillovers; Yield curve spread analysis; COVID-19 pandemic economic impact; Monetary policy implications; Time-varying market interconnectedness;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G01 - Financial Economics - - General - - - Financial Crises
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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