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Contagious Diseases and Gold: Over 700 Years of Evidence from Quantile Regressions

Author

Listed:
  • Elie Bouri

    (Adnan Kassar School of Business, Lebanese American University, Beirut, Lebanon)

  • Rangan Gupta

    (Department of Economics, University of Pretoria, Private Bag X20, Hatfield 0028, South Africa)

  • Jacobus Nel

    (Department of Economics, University of Pretoria, Private Bag X20, Hatfield 0028, South Africa)

  • Sisa Shiba

    (Department of Economics, University of Pretoria, Private Bag X20, Hatfield 0028, South Africa)

Abstract

Using annual data on real gold returns and the probability of fatality due to contagious diseases over the period of 1258 to 2020, we detect nonlinearity and regime changes in the relationship between the two variables of concern, over and above the existence of non-normality in the data. In light of these issues, we rely on a quantile regression model to show that real gold returns can hedge against risks associated with such rare disasters, but primarily when the market is in its bullish-state, with it being negatively impacted in its bearish-phase. Understandably, our results have important implications for investors seeking refuge in the safe haven of gold during rare disaster events.

Suggested Citation

  • Elie Bouri & Rangan Gupta & Jacobus Nel & Sisa Shiba, 2022. "Contagious Diseases and Gold: Over 700 Years of Evidence from Quantile Regressions," Working Papers 202233, University of Pretoria, Department of Economics.
    • Handle: RePEc:pre:wpaper:202233
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    Cited by:

    1. Rangan Gupta & Anandamayee Majumdar & Christian Pierdzioch & Onur Polat, 2024. "Climate Risks and Real Gold Returns over 750 Years," Forecasting, MDPI, vol. 6(4), pages 1-16, October.
    2. Thanoj K. Muddana & Komal S.R. Bhimireddy & Anandamayee Majumdar & Rangan Gupta, 2024. "Forecasting Gold Returns Volatility Over 1258-2023: The Role of Moments," Working Papers 202421, University of Pretoria, Department of Economics.
    3. Karmakar, Sayar & Gupta, Rangan & Cepni, Oguzhan & Rognone, Lavinia, 2023. "Climate risks and predictability of the trading volume of gold: Evidence from an INGARCH model," Resources Policy, Elsevier, vol. 82(C).
    4. Bruno Coric & Rangan Gupta, 2022. "Economic Disasters and Inequality," Working Papers 202255, University of Pretoria, Department of Economics.
    5. Feng, Qianbin & Ge, Ying & Zhao, Lexin, 2024. "Tax incentives and corporate digital transformation: Evidence from China’s accelerated depreciation policy," Journal of Asian Economics, Elsevier, vol. 95(C).
    6. Balcilar, Mehmet & Gupta, Rangan & Nel, Jacobus, 2022. "Rare disaster risks and gold over 700 years: Evidence from nonparametric quantile regressions," Resources Policy, Elsevier, vol. 79(C).
    7. Feng, Qianbin & Hu, Xiao & Deng, Xinyi & Lu, Jun, 2023. "Anti-corruption campaign and capacity utilization of state-owned enterprises: Evidence from China’s central committee inspection," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 319-346.
    8. Bruno Ćorić & Rangan Gupta, 2023. "Economic disasters and inequality: a note," Economic Change and Restructuring, Springer, vol. 56(5), pages 3527-3543, October.

    More about this item

    Keywords

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    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market

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