IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-01695995.html
   My bibliography  Save this paper

Dynamic Equicorrelation between S&P500 Index and S&P GSCI

Author

Listed:
  • Abdelkader Derbali

    (Université de Sousse, Institut Supérieur de Gestion Sousse)

  • Tarek Chebbi

    (Université de Sousse)

Abstract

In this paper, we use for the first time the GARCH-DECO (1,1) to investigate empirically the dependence between S&P500 index and the sixteen selected S&P GSCI commodities index. We employ daily prices of S&P500 and S&P GSCI commodities indices over the period from January 01, 2003 to December 31, 2015. From the empirical results, the conditional dependence between S&P500 and S&P GSCI commodities indices demonstrate the presence of highly volatility and validate the existence of a greatly time-varying variance in the dynamic equicorrelation between time serie returns obtained after the estimation of the GARCH-DECO (1,1) model. Besides, the conditional heteroscedasticity volatility prediction attains their maximum after the financial crisis of 2007, especially on both years 2008 and 2009. Our empirical finding indicates the existence of highly dependency between S&P500 and S&P GSCI commodities indices which prove the financialisation of US stock market indices and commodities.

Suggested Citation

  • Abdelkader Derbali & Tarek Chebbi, 2018. "Dynamic Equicorrelation between S&P500 Index and S&P GSCI," Working Papers hal-01695995, HAL.
    • Handle: RePEc:hal:wpaper:hal-01695995
    Note: View the original document on HAL open archive server: https://hal.science/hal-01695995
    as

    Download full text from publisher

    File URL: https://hal.science/hal-01695995/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Creti, Anna & Joëts, Marc & Mignon, Valérie, 2013. "On the links between stock and commodity markets' volatility," Energy Economics, Elsevier, vol. 37(C), pages 16-28.
    2. repec:dau:papers:123456789/14980 is not listed on IDEAS
    3. Caporin, Massimiliano & Chang, Chia-Lin & McAleer, Michael, 2019. "Are the S&P 500 index and crude oil, natural gas and ethanol futures related for intra-day data?," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 50-70.
    4. Brian J. Henderson & Neil D. Pearson & Li Wang, 2015. "Editor's Choice New Evidence on the Financialization of Commodity Markets," The Review of Financial Studies, Society for Financial Studies, vol. 28(5), pages 1285-1311.
    5. Kee-Hong Bae & G. Andrew Karolyi & René M. Stulz, 2003. "A New Approach to Measuring Financial Contagion," The Review of Financial Studies, Society for Financial Studies, vol. 16(3), pages 717-763, July.
    6. K. Geert Rouwenhorst & Ke Tang, 2012. "Commodity Investing," Annual Review of Financial Economics, Annual Reviews, vol. 4(1), pages 447-467, October.
    7. Tarek Chebbi & Abdelkader Derbali, 2015. "The dynamic correlation between energy commodities and Islamic stock market: analysis and forecasting," International Journal of Trade and Global Markets, Inderscience Enterprises Ltd, vol. 8(2), pages 112-126.
    8. Scott H. Irwin & Dwight R. Sanders, 2011. "Index Funds, Financialization, and Commodity Futures Markets," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 33(1), pages 1-31.
    9. Tse, Y K & Tsui, Albert K C, 2002. "A Multivariate Generalized Autoregressive Conditional Heteroscedasticity Model with Time-Varying Correlations," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 351-362, 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. Georgios Bampinas & Theodore Panagiotidis, 2017. "Oil and stock markets before and after financial crises: A local Gaussian correlation approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(12), pages 1179-1204, December.
    2. Abdelkader Derbali & Slaheddine Hallara & Aida Sy, 2016. "Athen's game of chicken or the conditional dependence between the Greek banks," International Journal of Economics and Accounting, Inderscience Enterprises Ltd, vol. 7(1), pages 1-26.
    3. Koch, Nicolas, 2014. "Tail events: A new approach to understanding extreme energy commodity prices," Energy Economics, Elsevier, vol. 43(C), pages 195-205.
    4. Karol Szafranek, 2015. "Financialisation of the commodity markets. Conclusions from the VARX DCC GARCH," NBP Working Papers 213, Narodowy Bank Polski.
    5. Algieri, Bernardina & Kalkuhl, Matthias & Koch, Nicolas, 2017. "A tale of two tails: Explaining extreme events in financialized agricultural markets," Food Policy, Elsevier, vol. 69(C), pages 256-269.
    6. Haase, Marco & Huss, Matthias, 2018. "Guilty speculators? Range-based conditional volatility in a cross-section of wheat futures," Journal of Commodity Markets, Elsevier, vol. 10(C), pages 29-46.
    7. Galán-Gutiérrez, Juan Antonio & Labeaga, José M. & Martín-García, Rodrigo, 2023. "Cointegration between high base metals prices and backwardation: Getting ready for the metals super-cycle," Resources Policy, Elsevier, vol. 81(C).
    8. Shahzad, Umer & Jena, Sangram Keshari & Tiwari, Aviral Kumar & Doğan, Buhari & Magazzino, Cosimo, 2022. "Time-frequency analysis between Bloomberg Commodity Index (BCOM) and WTI crude oil prices," Resources Policy, Elsevier, vol. 78(C).
    9. Haase, Marco & Seiler Zimmermann, Yvonne & Zimmermann, Heinz, 2016. "The impact of speculation on commodity futures markets – A review of the findings of 100 empirical studies," Journal of Commodity Markets, Elsevier, vol. 3(1), pages 1-15.
    10. Shahzad, Syed Jawad Hussain & Raza, Naveed & Balcilar, Mehmet & Ali, Sajid & Shahbaz, Muhammad, 2017. "Can economic policy uncertainty and investors sentiment predict commodities returns and volatility?," Resources Policy, Elsevier, vol. 53(C), pages 208-218.
    11. Abu S. Amin & Lucjan T. Orlowski, 2014. "Returns, Volatilities, and Correlations Across Mature, Regional, and Frontier Markets: Evidence from South Asia," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 50(3), pages 5-27, May.
    12. Barunik, Jozef & Krehlik, Tomas, 2016. "Measuring the frequency dynamics of financial and macroeconomic connectedness," FinMaP-Working Papers 54, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    13. Su, EnDer, 2013. "Stock index hedge using trend and volatility regime switch model considering hedging cost," MPRA Paper 49190, University Library of Munich, Germany.
    14. Sercan Demiralay & Selcuk Bayraci & H. Gaye Gencer, 2019. "Time-varying diversification benefits of commodity futures," Empirical Economics, Springer, vol. 56(6), pages 1823-1853, June.
    15. Hu, Haiqing & Chen, Di & Sui, Bo & Zhang, Lang & Wang, Yinyin, 2020. "Price volatility spillovers between supply chain and innovation of financial pledges in China," Economic Modelling, Elsevier, vol. 89(C), pages 397-413.
    16. Jozef Baruník & Tomáš Křehlík, 2018. "Measuring the Frequency Dynamics of Financial Connectedness and Systemic Risk," Journal of Financial Econometrics, Oxford University Press, vol. 16(2), pages 271-296.
    17. Maximilian-Benedikt Herwarth Kohn & Pedro L. Valls Pereira, 2017. "Speculative bubbles and contagion: Analysis of volatility’s clusters during the DotCom bubble based on the dynamic conditional correlation model," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1411453-141, January.
    18. Emerson Fernandes Marcal & Pedro Valls Pereira & Diogenes Manoel Leiva Martin & Wilson Toshiro Nakamura, 2011. "Evaluation of contagion or interdependence in the financial crises of Asia and Latin America, considering the macroeconomic fundamentals," Applied Economics, Taylor & Francis Journals, vol. 43(19), pages 2365-2379.
    19. Filippo Natoli, 2021. "Financialization Of Commodities Before And After The Great Financial Crisis," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 488-511, April.
    20. Smimou, K. & Bosch, D. & Filbeck, G., 2024. "Commodities and Policy Uncertainty Channel(s)," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 351-379.

    More about this item

    Keywords

    S&P 500; S&P GSCI; Commodities; Equicorrelation; GARCH-DECO;
    All these keywords.

    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:hal:wpaper:hal-01695995. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.