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Infectious Disease-Related Uncertainty and the Safe-Haven Characteristic of US Treasury Securities

Author

Listed:
  • Rangan Gupta

    (Department of Economics, University of Pretoria, Pretoria, 0002, South Africa)

  • Sowmya Subramaniam

    (Indian Institute of Management Lucknow, Prabandh Nagar off Sitapur Road, Lucknow, Uttar Pradesh 226013, India)

  • Elie Bouri

    (USEK Business School, Holy Spirit University of Kaslik, Jounieh, Lebanon)

  • Qiang Ji

    (Institutes of Science and Development, Chinese Academy of Sciences, Beijing, China; School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing, China)

Abstract

Using daily data from November 1985 to July 2020, we analyse the impact of a daily newspaper-based index of uncertainty associated with infectious diseases (EMVID) on the level, slope and curvature factors derived from the term structure of interest rates of the US covering maturities of 1 year to 30 years. Results from nonlinearity and structural break tests indicate the misspecification of the linear causality model and point to the suitability of applying a time-varying model that is robust to misspecification due to nonlinearity and regime change. We thus use a dynamic conditional correlation-multivariate generalised autoregressive conditional heteroskedasticity (DCC-MGARCH) framework and the results indicate significant predictability of the three latent factors from the EMVID index at each point of the entire sample, and also provide evidence of instantaneous spillover. Finally, we comprehensively determine the safe-haven characteristic of the US Treasury market by analysing the signs of the underlying time-varying conditional correlation between the level, slope and curvature factors and the EMVID index. Results show that US treasuries with long-term maturities as captured by the level factor are consistently negatively correlated with the EMVID index, i.e., they act as a safe-haven, with the slope factor (medium-term maturities) following this trend since 2007, and the slope factor (short-term maturities) also showing signs of a safe-haven since May of 2020. Overall, the findings provide reasonable evidence to imply that US Treasury securities can hedge the risks associated with the financial market in the wake of the current COVID-19 pandemic.

Suggested Citation

  • Rangan Gupta & Sowmya Subramaniam & Elie Bouri & Qiang Ji, 2020. "Infectious Disease-Related Uncertainty and the Safe-Haven Characteristic of US Treasury Securities," Working Papers 202078, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:202078
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Yield Curve Factors; Financial Market Uncertainty; Infectious Diseases; COVID-19; Time-Varying Granger Causality;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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