IDEAS home Printed from https://ideas.repec.org/p/dpc/wpaper/2211.html

Oil And Gold: Correlation Or Causation?

Author

Listed:
  • Thai-Ha Le

    (Division of Economics, Nanyang Technological University, Singapore)

  • Youngho Chang

    (Division of Economics, Nanyang Technological University, Singapore)

Abstract

This study using the monthly data spanning 1986:01-2011:04 to investigate the relationship between the prices of two strategic commodities: gold and oil. We examine this relationship through the inflation channel and their interaction with the index of the US dollar. We used different oil price proxies for our investigation and found that the impact of oil price on the gold price is not asymmetric but non-linear. Further, results show that there is a long-run relationship existing between the prices of oil and gold. The findings imply that the oil price can be used to predict the gold price.

Suggested Citation

  • Thai-Ha Le & Youngho Chang, 2011. "Oil And Gold: Correlation Or Causation?," Working Papers 113, Development and Policies Research Center (DEPOCEN), Vietnam.
  • Handle: RePEc:dpc:wpaper:2211
    as

    Download full text from publisher

    File URL: http://depocenwp.org/upload/pubs/22-%20Thai%20Ha%20Le-Oil_and_Gold_Correlation_or_causation_2011_yh_th.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Das, Debojyoti & Bhatia, Vaneet & Kumar, Surya Bhushan & Basu, Sankarshan, 2022. "Do precious metals hedge crude oil volatility jumps?," International Review of Financial Analysis, Elsevier, vol. 83(C).
    2. Turhan, M. Ibrahim & Sensoy, Ahmet & Ozturk, Kevser & Hacihasanoglu, Erk, 2014. "A view to the long-run dynamic relationship between crude oil and the major asset classes," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 286-299.
    3. Alam, Md Rafayet & Forhad, Md. Abdur Rahman & Sah, Nilesh B., 2022. "Consumption- and speculation-led change in demand for oil and the response of base metals: A Markov-switching approach," Finance Research Letters, Elsevier, vol. 47(PB).
    4. 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.
    5. Shahbaz, Muhammad & Balcilar, Mehmet & Abidin Ozdemir, Zeynel, 2017. "Does oil predict gold? A nonparametric causality-in-quantiles approach," Resources Policy, Elsevier, vol. 52(C), pages 257-265.
    6. Joscha Beckmann & Robert Czudaj, 2013. "Oil and gold price dynamics in a multivariate cointegration framework," International Economics and Economic Policy, Springer, vol. 10(3), pages 453-468, September.
    7. Golitsis, Petros & Gkasis, Pavlos & Bellos, Sotirios K., 2022. "Dynamic spillovers and linkages between gold, crude oil, S&P 500, and other economic and financial variables. Evidence from the USA," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    8. Rehman, Mobeen Ur & Owusu Junior, Peterson & Ahmad, Nasir & Vo, Xuan Vinh, 2022. "Time-varying risk analysis for commodity futures," Resources Policy, Elsevier, vol. 78(C).
    9. Luqman, Muhammad & Mugheri, Adil & Ahmad, Najid & Soytas, Ugur, 2023. "Casting shadows on natural resource commodity markets: Unraveling the quantile dilemma of gold and crude oil prices," Resources Policy, Elsevier, vol. 86(PA).
    10. Kanjilal, Kakali & Ghosh, Sajal, 2017. "Dynamics of crude oil and gold price post 2008 global financial crisis – New evidence from threshold vector error-correction model," Resources Policy, Elsevier, vol. 52(C), pages 358-365.
    11. Yakup Soylemez, 2021. "The causality relationship between energy prices and developed countries indices," Bussecon Review of Social Sciences (2687-2285), Bussecon International Academy, vol. 3(2), pages 24-40, April.
    12. Tiwari, Aviral Kumar & Sahadudheen, I., 2015. "Understanding the nexus between oil and gold," Resources Policy, Elsevier, vol. 46(P2), pages 85-91.
    13. Charbel Bassil & Hassan Hamadi & Patrick Mardini, 2019. "Gold and oil prices: stable or unstable long-run relationship," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(1), pages 57-72, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:dpc:wpaper:2211. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Doan Quang Hung (email available below). General contact details of provider: https://edirc.repec.org/data/depocvn.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.