IDEAS home Printed from https://ideas.repec.org/p/dpc/wpaper/0413.html
   My bibliography  Save this paper

A wavelet-based copula approach for modeling market risk in agricultural commodity markets

Author

Listed:
  • RIADH ALOUI

    (LAREQUAD & FSEGT, University of Tunis El Manar, B.P 248 El Manar II 2092 Tunis, Tunisia)

  • MOHAMED SAFOUANE BEN AISSA
  • DUC KHUONG NGUYEN

    (Dept. of Finance and Information Systems, ISC Paris School of Management, 22, Boulevard du Fort de Vaux, 75017 Paris, France)

Abstract

We consider the problem of accurate market risk modeling for agricultural commodity products over heterogeneous investment horizons using copulas and wavelet methods. Our results indicate that the degree and structure of the dependence of daily commodity returns on the three market risk fac- tors (federal funds rate, USD/Euro exchange rate, and world stock market ?uctuations) vary according to the time scale. Changes in the USD/EUR exchange rate and the stock market index are the dominant risks for agri- cultural commodity markets. Moreover, the tail dependence on the daily re- turns of the three market risk factors is also scale-dependent, and frequently asymmetric. Finally, there is evidence to suggest that the application of the wavelet-copula model improves the accuracy of VaR estimates, compared to traditional approaches.

Suggested Citation

  • Riadh Aloui & Mohamed Safouane Ben Aissa & Duc Khuong Nguyen, 2013. "A wavelet-based copula approach for modeling market risk in agricultural commodity markets," Working Papers 04, Development and Policies Research Center (DEPOCEN), Vietnam.
  • Handle: RePEc:dpc:wpaper:0413
    as

    Download full text from publisher

    File URL: http://depocenwp.org/modules/download/index.php?id=154
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. repec:ipg:wpaper:2014-492 is not listed on IDEAS
    2. repec:ipg:wpaper:2014-546 is not listed on IDEAS
    3. repec:ipg:wpaper:2014-464 is not listed on IDEAS
    4. repec:ipg:wpaper:2014-545 is not listed on IDEAS
    5. repec:ipg:wpaper:2014-561 is not listed on IDEAS
    6. repec:ipg:wpaper:2014-454 is not listed on IDEAS
    7. repec:ipg:wpaper:2014-480 is not listed on IDEAS
    8. Aloui, Chaker & Jammazi, Rania, 2015. "Dependence and risk assessment for oil prices and exchange rate portfolios: A wavelet based approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 62-86.
    9. repec:ipg:wpaper:2014-495 is not listed on IDEAS
    10. repec:ipg:wpaper:2014-481 is not listed on IDEAS
    11. repec:ipg:wpaper:2014-478 is not listed on IDEAS
    12. repec:ipg:wpaper:2014-470 is not listed on IDEAS

    More about this item

    Keywords

    Agricultural commodities; Extreme-value copula; Wavelet; VaR; CVaR;
    All these keywords.

    JEL classification:

    • Q14 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Finance
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

    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:0413. 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.