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Gold and silver prices, their stocks and market fear gauges: Testing fractional cointegration using a robust approach

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  • Yaya, OlaOluwa S.
  • Vo, Xuan Vinh
  • Olayinka, Hammed A.

Abstract

The present paper investigates the long-run relationships between daily prices, stocks and fear gauges of gold and silver by employing an updated fractional cointegrating framework, that is, the Fractional Cointegrating Vector Autoregression (FCVAR). The initial unit root tests results indicate that the series are I(d)s with values of d around 1 in all cases, and these are homogenous in the paired cointegrating series. Evidence of cointegration is found in the three pairs (prices, stocks and market gauge indices), while these cointegrations are only time-varying in the case of market gauge indices for the commodities. The fact that cointegration exists in prices and stocks of gold and silver implies the possibility that gold and silver prices and stocks can interchangeably be used to access the performances of the commodity markets, with the recommendation that the two commodities are not to be traded in the same portfolio.

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  • Yaya, OlaOluwa S. & Vo, Xuan Vinh & Olayinka, Hammed A., 2021. "Gold and silver prices, their stocks and market fear gauges: Testing fractional cointegration using a robust approach," Resources Policy, Elsevier, vol. 72(C).
    • Handle: RePEc:eee:jrpoli:v:72:y:2021:i:c:s0301420721000623
    DOI: 10.1016/j.resourpol.2021.102045
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    1. Søren Johansen & Morten Ørregaard Nielsen, 2012. "Likelihood Inference for a Fractionally Cointegrated Vector Autoregressive Model," Econometrica, Econometric Society, vol. 80(6), pages 2667-2732, November.
    2. Robinson, Peter M. & Yajima, Yoshihiro, 2002. "Determination of cointegrating rank in fractional systems," Journal of Econometrics, Elsevier, vol. 106(2), pages 217-241, February.
    3. Paul, Manas & Bhanja, Niyati & Dar, Arif Billah, 2019. "Gold, gold mining stocks and equities- partial wavelet coherence evidence from developed countries," Resources Policy, Elsevier, vol. 62(C), pages 378-384.
    4. Bierens, Herman J. & Martins, Luis F., 2010. "Time-Varying Cointegration," Econometric Theory, Cambridge University Press, vol. 26(5), pages 1453-1490, October.
    5. Velasco, Carlos, 1999. "Non-stationary log-periodogram regression," Journal of Econometrics, Elsevier, vol. 91(2), pages 325-371, August.
    6. Cuestas Juan Carlos & Gil-Alana Luis Alberiko, 2016. "Testing for long memory in the presence of non-linear deterministic trends with Chebyshev polynomials," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(1), pages 57-74, February.
    7. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    8. Stoyu Ivanov, 2013. "The influence of ETFs on the price discovery of gold, silver and oil," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 37(3), pages 453-462, July.
    9. Ole Emmrich & Francis Joseph McGroarty, 2013. "Should gold be included in institutional investment portfolios?," Applied Financial Economics, Taylor & Francis Journals, vol. 23(19), pages 1553-1565, October.
    10. Solt, Michael E & Swanson, Paul J, 1981. "On the Efficiency of the Markets for Gold and Silver," The Journal of Business, University of Chicago Press, vol. 54(3), pages 453-478, July.
    11. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501, Decembrie.
    12. Søren Johansen, 2005. "Interpretation of Cointegrating Coefficients in the Cointegrated Vector Autoregressive Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(1), pages 93-104, February.
    13. Dar, Arif Billah & Bhanja, Niyati & Paul, Manas, 2019. "Do gold mining stocks behave like gold or equities? Evidence from the UK and the US," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 369-384.
    14. Gil-Alana, Luis A. & Yaya, OlaOluwa S. & Awe, Olushina O., 2017. "Time series analysis of co-movements in the prices of gold and oil: Fractional cointegration approach," Resources Policy, Elsevier, vol. 53(C), pages 117-124.
    15. Zhu, Huiming & Peng, Cheng & You, Wanhai, 2016. "Quantile behaviour of cointegration between silver and gold prices," Finance Research Letters, Elsevier, vol. 19(C), pages 119-125.
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    Cited by:

    1. Cui, Moyang & Wong, Wing-Keung & Wisetsri, Worakamol & Mabrouk, Fatma & Muda, Iskandar & Li, Zeyun & Hassan, Marria, 2023. "Do oil, gold and metallic price volatilities prove gold as a safe haven during COVID-19 pandemic? Novel evidence from COVID-19 data," Resources Policy, Elsevier, vol. 80(C).
    2. Yaya, OlaOluwa S. & Ogbonna, Ahamuefula E. & Adesina, Oluwaseun A. & Alobaloke, Kafayat A. & Vo, Xuan Vinh, 2022. "Time-variation between metal commodities and oil, and the impact of oil shocks: GARCH-MIDAS and DCC-MIDAS analyses," Resources Policy, Elsevier, vol. 79(C).
    3. Kumar, Suresh & Choudhary, Sangita & Singh, Gurcharan & Singhal, Shelly, 2021. "Crude oil, gold, natural gas, exchange rate and indian stock market: Evidence from the asymmetric nonlinear ARDL model," Resources Policy, Elsevier, vol. 73(C).
    4. Yaya, OlaOluwa S. & Lukman, Adewale F. & Vo, Xuan Vinh, 2022. "Persistence and volatility spillovers of bitcoin price to gold and silver prices," Resources Policy, Elsevier, vol. 79(C).

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    More about this item

    Keywords

    Fractional cointegration; FCVAR; Gold; Silver; Mean reversion; Market fear gauges;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • 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

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