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Investigating Intraday Interdependence Between Gold, Silver and Three Major Currencies: the Euro, British Pound and Japanese Yen

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  • Stephanos Papadamou
  • Thomas Markopoulos

Abstract

In this study, the interrelationship between major exchange rate returns (namely EUR/USD, GBP/USD, JPY/USD) and precious metal returns (gold and silver) is examined using a vector autoregressive model in a multivariate asymmetric GARCH framework on the intraday frequency. Our findings indicate a unidirectional volatility transmission from the majority of our currencies (EUR/USD, GBP/USD) to precious metals. The sluggish response of silver volatility to currency volatility shocks permits implementation of intraday profitable strategies, providing implications against market efficiency when analyzing intraday data. In the case of the British pound and Japanese yen, a volatility shock affects silver volatility more than gold volatility. Crisis events such as the Greek default and US credit rating downgrade reduce significantly the correlation of EUR/USD and gold/silver. The covariance between EUR/USD and silver increases after a volatility shock in EUR/USD. The same happens with JPY/USD and silver. These findings are important for portfolio managers and monetary authorities. Copyright International Atlantic Economic Society 2014

Suggested Citation

  • Stephanos Papadamou & Thomas Markopoulos, 2014. "Investigating Intraday Interdependence Between Gold, Silver and Three Major Currencies: the Euro, British Pound and Japanese Yen," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 20(4), pages 399-410, November.
    • Handle: RePEc:kap:iaecre:v:20:y:2014:i:4:p:399-410:10.1007/s11294-014-9490-z
    DOI: 10.1007/s11294-014-9490-z
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    Cited by:

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    2. Tanin, Tauhidul Islam & Sarker, Ashutosh & Hammoudeh, Shawkat & Shahbaz, Muhammad, 2021. "Do volatility indices diminish gold's appeal as a safe haven to investors before and during the COVID-19 pandemic?," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 214-235.
    3. Mehmet Balcilar & Zeynel Abidin Ozdemir, 2018. "The volatility effect on precious metals prices in a stochastic volatility in mean model with time-varying parameters," Working Papers 15-34, Eastern Mediterranean University, Department of Economics.
    4. Vigne, Samuel A. & Lucey, Brian M. & O’Connor, Fergal A. & Yarovaya, Larisa, 2017. "The financial economics of white precious metals — A survey," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 292-308.
    5. Gupta, Rangan & Majumdar, Anandamayee & Pierdzioch, Christian & Wohar, Mark E., 2017. "Do terror attacks predict gold returns? Evidence from a quantile-predictive-regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 276-284.
    6. Reboredo, Juan Carlos & Ugolini, Andrea & Hernandez, Jose Arreola, 2021. "Dynamic spillovers and network structure among commodity, currency, and stock markets," Resources Policy, Elsevier, vol. 74(C).
    7. Stephanos Papadamou & Vasilios Sogiakas, 2018. "The informational content of unconventional monetary policy on precious metal markets," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(1), pages 16-36, January.
    8. Scott W. Hegerty, 2015. "Commodity-Price Volatility, Exchange Market Pressure, and Macroeconomic Linkages: Evidence from Latin America," Bulletin of Applied Economics, Risk Market Journals, vol. 2(2), pages 11-21.
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    More about this item

    Keywords

    Precious metals; Exchange rates; Hedge; GARCH; F30; F33;
    All these keywords.

    JEL classification:

    • F30 - International Economics - - International Finance - - - General
    • F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions

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