IDEAS home Printed from https://ideas.repec.org/a/cbk/journl/v13y2024i2p187-211.html
   My bibliography  Save this article

Volatility Spillover: Garch Analysis of S&P 500's Influence on Precious Metals

Author

Listed:
  • Edo Duran

    (Ernst & Young, Stockholm, Sweden)

  • Zoran Grubisic

    (Belgrade Banking Academy, Faculty of Banking, Insurance and Finance, Belgrade, Serbia)

  • Milena Lazic

    (Institute of Economic Sciences, Belgrade, Serbia)

Abstract

In this study, the volatility spillovers from the S&P 500 to the precious metals (gold, silver and platinum) are investigated. By using the TGARCH and DCC GARCH model, the evidence is found that there are spillovers between the S&P 500 and these global commodity markets. However, there are some differences in times of crises which have occurred during the observed 15 years (global economic crisis, debt crisis and corona crisis). In the case of gold, despite extreme volatility, there is no clear evidence of the specific influence of the crises. In contrast, silver and platinum showed clearer situations, both demonstrating significant increases in correlation with the S&P 500 index during global economic crises.

Suggested Citation

  • Edo Duran & Zoran Grubisic & Milena Lazic, 2024. "Volatility Spillover: Garch Analysis of S&P 500's Influence on Precious Metals," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 13(2), pages 187-211.
  • Handle: RePEc:cbk:journl:v:13:y:2024:i:2:p:187-211
    as

    Download full text from publisher

    File URL: http://www.cbcg.me/repec/cbk/journl/vol13no2-8.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nenad Milojević & Srdjan Redzepagic, 2021. "Prospects of Artificial Intelligence and Machine Learning Application in Banking Risk Management," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 10(3), pages 41-57.
    2. David Hillier & Paul Draper & Robert Faff, 2006. "Do Precious Metals Shine? An Investment Perspective," Financial Analysts Journal, Taylor & Francis Journals, vol. 62(2), pages 98-106, March.
    3. Mustafa Özer & Zoran Grubišić & Sevilay Küçüksakarya, 2023. "Effects of Exchange Rate, Output Gap, and Output Gap Volatility on Inflation Volatility in Turkey," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 12(1), pages 5-26.
    4. Nikola Fabris & Milutin Ješić, 2023. "Are Gold and Bitcoin a Safe Haven for European Indices?," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 12(1), pages 27-44.
    5. Matthew Hood & Farooq Malik, 2013. "Is gold the best hedge and a safe haven under changing stock market volatility?," Review of Financial Economics, John Wiley & Sons, vol. 22(2), pages 47-52, April.
    6. Mensi, Walid & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Time and frequency connectedness and network across the precious metal and stock markets: Evidence from top precious metal importers and exporters," Resources Policy, Elsevier, vol. 72(C).
    7. Darko Vukovic & Moinak Maiti & Zoran Grubisic & Elena M. Grigorieva & Michael Frömmel, 2021. "COVID-19 Pandemic: Is the Crypto Market a Safe Haven? The Impact of the First Wave," Sustainability, MDPI, vol. 13(15), pages 1-17, July.
    8. Hood, Matthew & Malik, Farooq, 2013. "Is gold the best hedge and a safe haven under changing stock market volatility?," Review of Financial Economics, Elsevier, vol. 22(2), pages 47-52.
    9. Pazner, Elisha A & Razin, Assaf, 1975. "On Expected Value vs. Expected Future Value," Journal of Finance, American Finance Association, vol. 30(3), pages 875-877, June.
    10. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    11. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    12. Najib Shrydeh & Mohammed Shahateet & Suleiman Mohammad & Mohammed Sumadi, 2019. "The hedging effectiveness of gold against US stocks in a post-financial crisis era," Cogent Economics & Finance, Taylor & Francis Journals, vol. 7(1), pages 1698268-169, January.
    13. 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.
    14. Nikola Fabris & Milena Lazić, 2022. "Evaluating the Role of the Exchange Rate in Monetary Policy Reaction Function of Advanced and Emerging Market Economies," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 11(2), pages 77-96.
    15. Melik KAMIŞLI & Mustafa ÖZER & Özlem SAYILIR & Patrice Racine DIALLO, 2023. "Time Scales Based Analysis of the Effects of COVID-19 Related Economic Support on the Stock Markets in Emerging Markets," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 12(3), pages 41-60.
    16. Adekoya, Oluwasegun B. & Oliyide, Johnson A. & Tahir, Hammad, 2021. "What do we know about the inflation-hedging property of precious metals in Africa? The case of leading producers of the commodities," Resources Policy, Elsevier, vol. 72(C).
    17. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Echaust, Krzysztof & Just, Małgorzata & Kliber, Agata, 2024. "To hedge or not to hedge? Cryptocurrencies, gold and oil against stock market risk," International Review of Financial Analysis, Elsevier, vol. 94(C).
    2. Wang, Xinya & Lucey, Brian & Huang, Shupei, 2022. "Can gold hedge against oil price movements: Evidence from GARCH-EVT wavelet modeling," Journal of Commodity Markets, Elsevier, vol. 27(C).
    3. Maghyereh, Aktham I. & Awartani, Basel & Tziogkidis, Panagiotis, 2017. "Volatility spillovers and cross-hedging between gold, oil and equities: Evidence from the Gulf Cooperation Council countries," Energy Economics, Elsevier, vol. 68(C), pages 440-453.
    4. Abdulsalam Abidemi Sikiru & Afees A. Salisu, 2023. "Hedging against risks associated with travel and tourism stocks during COVID‐19 pandemic: The role of gold," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1872-1882, April.
    5. Yaya, OlaOluwa S. & Tumala, Mohammed M. & Udomboso, Christopher G., 2016. "Volatility persistence and returns spillovers between oil and gold prices: Analysis before and after the global financial crisis," Resources Policy, Elsevier, vol. 49(C), pages 273-281.
    6. Morema, Kgotso & Bonga-Bonga, Lumengo, 2018. "The impact of oil and gold price fluctuations on the South African equity market: volatility spillovers and implications for portfolio management," MPRA Paper 87637, University Library of Munich, Germany.
    7. Hassan, M. Kabir & Kamran, Muhammad & Djajadikerta, Hadrian Geri & Choudhury, Tonmoy, 2022. "Search for safe havens and resilience to global financial volatility: Response of GCC equity indexes to GFC and Covid-19," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    8. Asai, Manabu & McAleer, Michael, 2015. "Leverage and feedback effects on multifactor Wishart stochastic volatility for option pricing," Journal of Econometrics, Elsevier, vol. 187(2), pages 436-446.
    9. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2016. "Connecting VIX and Stock Index ETF," Tinbergen Institute Discussion Papers 16-010/III, Tinbergen Institute, revised 23 Jan 2017.
    10. Chia-Lin Chang & Yiying Li & Michael McAleer, 2018. "Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Energies, MDPI, vol. 11(6), pages 1-19, June.
    11. Buccheri, Giuseppe & Corsi, Fulvio & Flandoli, Franco & Livieri, Giulia, 2021. "The continuous-time limit of score-driven volatility models," Journal of Econometrics, Elsevier, vol. 221(2), pages 655-675.
    12. Janani Sri S. & Parthajit Kayal & G. Balasubramanian, 2022. "Can Equity be Safe-haven for Investment?," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 21(1), pages 32-63, March.
    13. Prosper Dovonon, 2013. "Conditionally Heteroskedastic Factor Models With Skewness And Leverage Effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(7), pages 1110-1137, November.
    14. Kei Nakagawa & Yusuke Uchiyama, 2020. "GO-GJRSK Model with Application to Higher Order Risk-Based Portfolio," Mathematics, MDPI, vol. 8(11), pages 1-12, November.
    15. Sucarrat, Genaro & Grønneberg, Steffen & Escribano, Alvaro, 2016. "Estimation and inference in univariate and multivariate log-GARCH-X models when the conditional density is unknown," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 582-594.
    16. Massimiliano Caporin & Michael McAleer, 2011. "Thresholds, news impact surfaces and dynamic asymmetric multivariate GARCH," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 65(2), pages 125-163, May.
    17. Esparcia, Carlos & Jareño, Francisco & Umar, Zaghum, 2022. "Revisiting the safe haven role of Gold across time and frequencies during the COVID-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    18. E. Ramos-P'erez & P. J. Alonso-Gonz'alez & J. J. N'u~nez-Vel'azquez, 2020. "Forecasting volatility with a stacked model based on a hybridized Artificial Neural Network," Papers 2006.16383, arXiv.org, revised Aug 2020.
    19. Francq, Christian & Zakoian, Jean-Michel, 2014. "Estimating multivariate GARCH and stochastic correlation models equation by equation," MPRA Paper 54250, University Library of Munich, Germany.
    20. Henryk Gurgul & Robert Syrek, 2023. "Contagion between selected European indexes during the Covid-19 pandemic," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 33(1), pages 47-59.

    More about this item

    Keywords

    Spillover; Commodity markets; GARCH; crisis.;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    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:cbk:journl:v:13:y:2024:i:2:p:187-211. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/cbmgvme.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.