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An information theory perspective on the informational efficiency of gold price

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  • Bariviera, Aurelio F.
  • Font-Ferrer, Alejandro
  • Sorrosal-Forradellas, M. Teresa
  • Rosso, Osvaldo A.

Abstract

This paper studies the informational efficiency of the gold market, and its variability due to economic distress situations. The period under study goes from 1968 until 2017. We use quantifiers derived from Information Theory in order to analyze the stochastic dynamics of gold price. In particular, we use permutation entropy, permutation statistical complexity and Fisher Information Measure, to assess the time varying dynamics of price time series. We find that the stochastic regime in the time series exhibits three distinct dynamics, roughly divided in years 1968–1981, 1981–2003, 2003–2017. Additionally, informational efficiency is affected by major economic and political events. Finally, we detect a strong persistence in volatility.

Suggested Citation

  • Bariviera, Aurelio F. & Font-Ferrer, Alejandro & Sorrosal-Forradellas, M. Teresa & Rosso, Osvaldo A., 2019. "An information theory perspective on the informational efficiency of gold price," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    • Handle: RePEc:eee:ecofin:v:50:y:2019:i:c:s1062940818304534
    DOI: 10.1016/j.najef.2019.101018
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    2. de Araujo, Fernando Henrique Antunes & Bejan, Lucian & Stosic, Borko & Stosic, Tatijana, 2020. "An analysis of Brazilian agricultural commodities using permutation – information theory quantifiers: The influence of food crisis," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    3. Fernandes, Leonardo H.S. & Bouri, Elie & Silva, José W.L. & Bejan, Lucian & de Araujo, Fernando H.A., 2022. "The resilience of cryptocurrency market efficiency to COVID-19 shock," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    4. Olivares, Felipe & Zunino, Luciano, 2020. "Multiscale dynamics under the lens of permutation entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
    5. Chirwa, Themba G. & Odhiambo, Nicholas M., 2020. "Determinants of gold price movements: An empirical investigation in the presence of multiple structural breaks," Resources Policy, Elsevier, vol. 69(C).
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    8. Brouty, Xavier & Garcin, Matthieu, 2024. "Fractal properties, information theory, and market efficiency," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
    9. Mensi, Walid & Sensoy, Ahmet & Vo, Xuan Vinh & Kang, Sang Hoon, 2020. "Impact of COVID-19 outbreak on asymmetric multifractality of gold and oil prices," Resources Policy, Elsevier, vol. 69(C).

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    More about this item

    Keywords

    Gold; Permutation entropy; Statistical complexity; Fisher Information Measure; Economic crisis;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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