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The impact of festivities on gold price expectation and volatility

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  • Schmidbauer, Harald
  • Rösch, Angi

Abstract

A majority of gold worldwide is bought as jewelry. China and India together account for about 60% of worldwide gold jewelry consumption. Gold is a traditional gift in many cultures and often given away on the occasion of festivals, such as Chinese New Year, Diwali, and Ramadan Eid. These facts lead us to an obvious question: Do gold prices behave differently around festivals? This question has not yet been systematically discussed on the basis of stochastic models. The purpose of the present paper is to investigate the effects of a selection of festivals on the distribution of daily gold price changes. Dummy variables indicating the festival are modified to reflect anticipation and/or aftereffects of festivities, and they are used as covariates in a combination of regression and GARCH models to specify conditional expectation and volatility of daily gold price changes. We set up a model which measures the effect of festivities on the return distribution in terms of the magnitude of current volatility, which acts as a “news magnifier”. After fitting this model to data, extensive robustness checks are undertaken to make sure our results are valid.

Suggested Citation

  • Schmidbauer, Harald & Rösch, Angi, 2018. "The impact of festivities on gold price expectation and volatility," International Review of Financial Analysis, Elsevier, vol. 58(C), pages 117-131.
  • Handle: RePEc:eee:finana:v:58:y:2018:i:c:p:117-131
    DOI: 10.1016/j.irfa.2018.03.006
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    1. Dirk G. Baur & Brian M. Lucey, 2010. "Is Gold a Hedge or a Safe Haven? An Analysis of Stocks, Bonds and Gold," The Financial Review, Eastern Finance Association, vol. 45(2), pages 217-229, May.
    2. Reboredo, Juan C., 2013. "Is gold a safe haven or a hedge for the US dollar? Implications for risk management," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 2665-2676.
    3. Batten, Jonathan A. & Ciner, Cetin & Lucey, Brian M., 2010. "The macroeconomic determinants of volatility in precious metals markets," Resources Policy, Elsevier, vol. 35(2), pages 65-71, June.
    4. Schmidbauer, Harald & Rösch, Angi, 2012. "OPEC news announcements: Effects on oil price expectation and volatility," Energy Economics, Elsevier, vol. 34(5), pages 1656-1663.
    5. Baur, Dirk G. & McDermott, Thomas K., 2010. "Is gold a safe haven? International evidence," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1886-1898, August.
    6. Bentes, Sonia R., 2015. "Forecasting volatility in gold returns under the GARCH, IGARCH and FIGARCH frameworks: New evidence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 355-364.
    7. Baur, Dirk G., 2013. "The autumn effect of gold," Research in International Business and Finance, Elsevier, vol. 27(1), pages 1-11.
    8. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    9. Brian M. Lucey & Charles Larkin & Fergal A. O'Connor, 2013. "London or New York: where and when does the gold price originate?," Applied Economics Letters, Taylor & Francis Journals, vol. 20(8), pages 813-817, May.
    10. Claude B. Erb & Campbell R. Harvey, 2013. "The Golden Dilemma," NBER Working Papers 18706, National Bureau of Economic Research, Inc.
    11. O'Connor, Fergal A. & Lucey, Brian M. & Batten, Jonathan A. & Baur, Dirk G., 2015. "The financial economics of gold — A survey," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 186-205.
    12. Capie, Forrest & Mills, Terence C. & Wood, Geoffrey, 2005. "Gold as a hedge against the dollar," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 15(4), pages 343-352, October.
    13. Shackle,G. L. S., 2012. "Expectation in Economics," Cambridge Books, Cambridge University Press, number 9781107629141, October.
    14. Arouri, Mohamed El Hedi & Hammoudeh, Shawkat & Lahiani, Amine & Nguyen, Duc Khuong, 2012. "Long memory and structural breaks in modeling the return and volatility dynamics of precious metals," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(2), pages 207-218.
    15. Brian Lucey, 2010. "Lunar seasonality in precious metal returns?," Applied Economics Letters, Taylor & Francis Journals, vol. 17(9), pages 835-838.
    16. Baur, Dirk G. & Glover, Kristoffer J., 2015. "Speculative trading in the gold market," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 63-71.
    17. Cochran, Steven J. & Mansur, Iqbal & Odusami, Babatunde, 2012. "Volatility persistence in metal returns: A FIGARCH approach," Journal of Economics and Business, Elsevier, vol. 64(4), pages 287-305.
    18. Baur, Dirk G. & Glover, Kristoffer J., 2014. "Heterogeneous expectations in the gold market: Specification and estimation," Journal of Economic Dynamics and Control, Elsevier, vol. 40(C), pages 116-133.
    19. Batten, Jonathan A. & Ciner, Cetin & Lucey, Brian M, 2014. "On the economic determinants of the gold–inflation relation," Resources Policy, Elsevier, vol. 41(C), pages 101-108.
    20. Chkili, Walid & Hammoudeh, Shawkat & Nguyen, Duc Khuong, 2014. "Volatility forecasting and risk management for commodity markets in the presence of asymmetry and long memory," Energy Economics, Elsevier, vol. 41(C), pages 1-18.
    21. repec:bla:jfinan:v:59:y:2004:i:1:p:31-63 is not listed on IDEAS
    22. Sari, Ramazan & Hammoudeh, Shawkat & Soytas, Ugur, 2010. "Dynamics of oil price, precious metal prices, and exchange rate," Energy Economics, Elsevier, vol. 32(2), pages 351-362, March.
    23. Pukthuanthong, Kuntara & Roll, Richard, 2011. "Gold and the Dollar (and the Euro, Pound, and Yen)," Journal of Banking & Finance, Elsevier, vol. 35(8), pages 2070-2083, August.
    24. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    4. Li, Xiafei & Guo, Qiang & Liang, Chao & Umar, Muhammad, 2023. "Forecasting gold volatility with geopolitical risk indices," Research in International Business and Finance, Elsevier, vol. 64(C).

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    More about this item

    Keywords

    Gold prices; Festivals; Gold jewelry; Gold price volatility; GARCH with covariates; News-magnifying model;
    All these keywords.

    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
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • L70 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - General
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market

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