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Dynamics and causality in distribution between spot and future precious metals: A copula approach

Author

Listed:
  • Rihem Braham

    (LSAF - Laboratoire de Sciences Actuarielle et Financière - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon, UCBL - Université Claude Bernard Lyon 1 - Université de Lyon)

  • Christian de Peretti

    (ECL - École Centrale de Lyon - Université de Lyon, LSAF - Laboratoire de Sciences Actuarielle et Financière - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon)

  • Lotfi Belkacem

    (IHEC Sousse - IHEC, USO - جامعة سوسة = Université de Sousse = University of Sousse)

Abstract

This paper examines the dependence structure and the Granger causality in distribution (GCD) between spot and future returns of precious metals (gold, silver, and platinum) via copula modelling. This study considers the evidence on real precious metals returns from Jan 2, 2002 to Jan 13, 2017. Throughout literature, the use of copula in precious metals markets is still limited. Indeed, unlike linear methods, using a copula-based approach has several attractive advantages. Our empirical findings show the following: (1) Using static and dynamic copulas, we find that the dependence between the spot and the future returns of precious metals is relatively strong and time varying with a strong tail dependence for all pairs (3) Using independence test based on the empirical copula, we detect a unidirectional GCD from future to spot precious metals market during normal times. This results means that past information from the future returns improve forecasts of spot returns. However, the causal relationship seems to be bidirectional in the case of gold and platinum during crisis periods. Our findings are important to investors for investigating hedging strategies since the efficacy of a hedging strategy is dependent on the price discovery mechanism. Hence, they should take the above findings into consideration to make optimal decisions, especially during periods of marked instability.

Suggested Citation

  • Rihem Braham & Christian de Peretti & Lotfi Belkacem, 2020. "Dynamics and causality in distribution between spot and future precious metals: A copula approach," Post-Print hal-04875511, HAL.
  • Handle: RePEc:hal:journl:hal-04875511
    DOI: 10.1016/j.ribaf.2020.101184
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    1. is not listed on IDEAS
    2. You‐How Go & Wee‐Yeap Lau, 2023. "What do we know about informational efficiency? Three puzzles and the new direction forward," Journal of Economic Surveys, Wiley Blackwell, vol. 37(4), pages 1489-1525, September.
    3. Cheng, Sheng & Zhang, Zongyou & Cao, Yan, 2022. "Can precious metals hedge geopolitical risk? Fresh sight using wavelet coherence analysis," Resources Policy, Elsevier, vol. 79(C).
    4. Triki, Mohamed Bilel & Ben Maatoug, Abderrazek, 2021. "The GOLD market as a safe haven against the stock market uncertainty: Evidence from geopolitical risk," Resources Policy, Elsevier, vol. 70(C).
    5. Rivera, Nilza & Guzmán, Juan Ignacio & Jara, José Joaquín & Lagos, Gustavo, 2021. "Evaluation of econometric models of secondary refined copper supply," Resources Policy, Elsevier, vol. 73(C).
    6. Ghosh, Indranil & Chaudhuri, Tamal Datta & Alfaro-Cortés, Esteban & Gámez, Matías & García, Noelia, 2022. "A hybrid approach to forecasting futures prices with simultaneous consideration of optimality in ensemble feature selection and advanced artificial intelligence," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    7. Hachmi Ben Ameur & Zied Ftiti & Waël Louhichi, 2022. "Revisiting the relationship between spot and futures markets: evidence from commodity markets and NARDL framework," Annals of Operations Research, Springer, vol. 313(1), pages 171-189, June.
    8. Talbi, Marwa & Bedoui, Rihab & de Peretti, Christian & Belkacem, Lotfi, 2021. "Is the role of precious metals as precious as they are? A vine copula and BiVaR approaches," Resources Policy, Elsevier, vol. 73(C).
    9. Zhang, Jiao & Li, Youping & Liu, Chunqiong & Wu, Bo & Shi, Kai, 2022. "A study of cross-correlations between PM2.5 and O3 based on Copula and Multifractal methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    10. Paravee Maneejuk & Woraphon Yamaka, 2021. "The Role of Economic Contagion in the Inward Investment of Emerging Economies: The Dynamic Conditional Copula Approach," Mathematics, MDPI, vol. 9(20), pages 1-23, October.
    11. Ioannis E. Tsolas, 2020. "Precious Metal Mutual Fund Performance Evaluation: A Series Two-Stage DEA Modeling Approach," JRFM, MDPI, vol. 13(5), pages 1-13, April.
    12. Shahzad, Farrukh & Bouri, Elie & Mokni, Khaled & Ajmi, Ahdi Noomen, 2021. "Energy, agriculture, and precious metals: Evidence from time-varying Granger causal relationships for both return and volatility," Resources Policy, Elsevier, vol. 74(C).
    13. Chen, Jinyu & Huang, Yuxin & Ren, Xiaohang & Qu, Jingxiao, 2022. "Time-varying spillovers between trade policy uncertainty and precious metal markets: Evidence from China-US trade conflict," Resources Policy, Elsevier, vol. 76(C).
    14. Abdulrazak Nur Mohamed & Idiris Sid Ali Mohamed, 2023. "Precious Metals and Oil Price Dynamics," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 119-128, November.
    15. Nekhili, Ramzi & Sultan, Jahangir & Mensi, Walid, 2021. "Co-movements among precious metals and implications for portfolio management: A multivariate wavelet-based dynamic analysis," Resources Policy, Elsevier, vol. 74(C).
    16. Wei, Jiangqiao & Ma, Zhe & Wang, Anjian & Li, Pengyuan & Sun, Xiaoyan & Yuan, Xiaojing & Hao, Hongchang & Jia, Hongxiang, 2022. "Multiscale nonlinear Granger causality and time-varying effect analysis of the relationship between iron ore futures and spot prices," Resources Policy, Elsevier, vol. 77(C).
    17. Woraphon Yamaka & Paravee Maneejuk, 2022. "Does the US Contagion Risk Affect Foreign Direct Investment Inflows in Emerging Economies?," PIER Discussion Papers 192, Puey Ungphakorn Institute for Economic Research.
    18. Mensi, Walid & Hernandez, Jose Arroeola & Yoon, Seong-Min & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Spillovers and connectedness between major precious metals and major currency markets: The role of frequency factor," International Review of Financial Analysis, Elsevier, vol. 74(C).

    More about this item

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G1 - Financial Economics - - General Financial Markets

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