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The (Asymmetric) Effect of El Nino and La Nina on Gold and Silver Prices in a GVAR Model

Author

Listed:
  • Afees A. Salisu

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

  • 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)

  • Elie Bouri

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

Abstract

Recent studies show that El Nino episodes are generally inflationary, due to increases in the prices of agricultural commodities and crude oil. Given this, we examine the inflation-hedging property of gold (along with silver) from a novel perspective by analysing the impact of a negative shock to the negative component of Southern Oscillation Index (SOI) anomalies, i.e., an El Nino effect. To this end, we apply a large-scale global vector autoregressive (GVAR) model to 33 countries covering both developed and emerging markets using quarterly data from 1980:Q2 to 2019:Q4. The GVAR methodology provides an appropriate framework as it allows us to capture the transmission of global climate-related shocks while simultaneously accounting for individual country peculiarities. We find that both gold and silver serve as good hedges in periods of inflation and rare disaster risks resulting from an El Nino negative shock. Interestingly, silver is a better hedge than gold, as implied by bigger positive real returns in response to the El Nino. At the same time, La Nina shocks, captured by a positive effect to the positive component of SOI anomalies, fail to have a statistically significant impact on either gold or silver real returns. Overall, our results confirm the inflation-hedging benefits offered by the two precious metals, suggesting that investors can offset losses resulting from inflation-related risks resulting from El Nino events by investing not only in gold, but more so in silver.

Suggested Citation

  • Afees A. Salisu & Rangan Gupta & Jacobus Nel & Elie Bouri, 2021. "The (Asymmetric) Effect of El Nino and La Nina on Gold and Silver Prices in a GVAR Model," Working Papers 202132, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:202132
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    Cited by:

    1. Pierre Boutros & Ali Fakih & Sara Kassab & Zeina Lizzaik, 2022. "Does the Number of Publications Matter for Academic Promotion in Higher Education? Evidence from Lebanon," Social Sciences, MDPI, vol. 11(10), pages 1-23, October.
    2. Zhu, Jiaji & Han, Wei & Zhang, Junchao, 2023. "Does climate risk matter for gold price volatility?," Finance Research Letters, Elsevier, vol. 58(PC).
    3. Pham, Linh & Kamal, Javed Bin, 2024. "Blessings or curse: How do media climate change concerns affect commodity tail risk spillovers?," Journal of Commodity Markets, Elsevier, vol. 34(C).
    4. Zhang, Li & Li, Yan & Yu, Sixin & Wang, Lu, 2023. "Risk transmission of El Niño-induced climate change to regional Green Economy Index," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 860-872.
    5. Zhu, Xuehong & Zhang, Shishi & Ding, Qian, 2024. "Does extreme climate change drive the connectedness among global gold markets? Evidence from TVP-VAR and causality-in-quantiles techniques," Resources Policy, Elsevier, vol. 91(C).
    6. Elie Bouri & Rangan Gupta & Luca Rossini, 2022. "The Role of the Monthly ENSO in Forecasting the Daily Baltic Dry Index," Working Papers 202229, University of Pretoria, Department of Economics.
    7. Bayaa, Yasmeen & Qadan, Mahmoud, 2024. "The shape of the Treasury yield curve and commodity prices," International Review of Financial Analysis, Elsevier, vol. 94(C).
    8. Bouri, Elie & Gupta, Rangan & Nel, Jacobus & Shiba, Sisa, 2022. "Contagious diseases and gold: Over 700 years of evidence from quantile regressions," Finance Research Letters, Elsevier, vol. 50(C).
    9. Qin, Meng & Su, Chi-Wei & Umar, Muhammad & Lobonţ, Oana-Ramona & Manta, Alina Georgiana, 2023. "Are climate and geopolitics the challenges to sustainable development? Novel evidence from the global supply chain," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 748-763.

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    JEL classification:

    • 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
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market

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