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Out-of-Sample Predictability of Gold Market Volatility: The Role of US Nonfarm Payroll

Author

Listed:
  • Afees A. Salisu

    (Centre for Econometric and Allied Research, University of Ibadan, Ibadan, Nigeria)

  • 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)

Abstract

In this study, we make a three-fold contribution to the literature on gold market analysis. First, we provide evidence for the predictive value of US Nonfarm Payroll (USNP) in the out-of-sample forecast of gold market volatility. Second, we extend our analysis to other precious metals and the US stock market index for robustness purposes. Third, we utilize mixed data frequencies based on the availability of data, thus, circumventing any bias or information loss due to the use of monthly (low frequency) USNP data and daily (high frequency) gold price data. The results show that the USNP, which reflects gain/loss in US non-farm jobs, is negatively related to gold return volatility implying that deterioration (improvement) in the economy due to job losses (gains) raises (lowers) the gold market volatility as its trading improves (deteriorates) while the reverse is the case for US stocks. The out-of-sample predictive value of USNP in the return volatility of gold is also established as the model which includes the former offers better out-of-sample forecast gains than the benchmark model which ignores it. Additional analyses involving other precious metals, namely palladium, platinum, rhodium, and silver, show the same direction of relationship as gold, albeit with higher forecast gains for silver than the others. Our findings have useful implications for financial analysts and investors.

Suggested Citation

  • Afees A. Salisu & Elie Bouri & Rangan Gupta, 2021. "Out-of-Sample Predictability of Gold Market Volatility: The Role of US Nonfarm Payroll," Working Papers 202143, University of Pretoria, Department of Economics.
    • Handle: RePEc:pre:wpaper:202143
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    Cited by:

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    2. O-Chia Chuang & Rangan Gupta & Christian Pierdzioch & Buliao Shu, 2024. "Financial Uncertainty and Gold Market Volatility: Evidence from a GARCH-MIDAS Approach with Variable Selection," Working Papers 202441, University of Pretoria, Department of Economics.
    3. Ayinde, Taofeek O. & Olaniran, Abeeb O. & Abolade, Onomeabure C. & Ogbonna, Ahamuefula Ephraim, 2023. "Technology shocks - Gold market connection: Is the effect episodic to business cycle behaviour?," Resources Policy, Elsevier, vol. 84(C).

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    More about this item

    Keywords

    Gold market volatility; US Nonfarm Payroll; Out-of-sample predictability; GARCH-MIDAS;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand

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