IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/72584.html
   My bibliography  Save this paper

What DCC-GARCH model tell us about the effect of the gold price's volatility on south african exchange rate?

Author

Listed:
  • Kebalo, Leleng

Abstract

The aim of this paper is to study through a model rarely used and little known, the influence of the gold price's volatility on the south african real exchange rate. More precisely, it is to show that through the Dynamic Conditional Correlation GARCH model; model used in our paper, we get results that are consistent with economic works on the relationship between gold price's volatility and the real exchange rate. The period retained in this research paper going from May 1995 to April 2014. After analysis, we find that in the short term, the real exchange rate is more sensitive to its own volatility shocks, compared to the effect of the volatility shock of gold price. The last shock, although high, is less persistent on the real exchange rate.

Suggested Citation

  • Kebalo, Leleng, 2014. "What DCC-GARCH model tell us about the effect of the gold price's volatility on south african exchange rate?," MPRA Paper 72584, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:72584
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/72584/1/MPRA_paper_72584.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Arezki, Rabah & Dumitrescu, Elena & Freytag, Andreas & Quintyn, Marc, 2014. "Commodity prices and exchange rate volatility: Lessons from South Africa's capital account liberalization," Emerging Markets Review, Elsevier, vol. 19(C), pages 96-105.
    2. Richard Meese & Kenneth Rogoff, 1983. "The Out-of-Sample Failure of Empirical Exchange Rate Models: Sampling Error or Misspecification?," NBER Chapters, in: Exchange Rates and International Macroeconomics, pages 67-112, National Bureau of Economic Research, Inc.
    3. Chen, Yu-chin & Rogoff, Kenneth, 2003. "Commodity currencies," Journal of International Economics, Elsevier, vol. 60(1), pages 133-160, May.
    4. Jeffrey Frankel, 2007. "On The Rand: Determinants Of The South African Exchange Rate," South African Journal of Economics, Economic Society of South Africa, vol. 75(3), pages 425-441, September.
    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. Leleng KEBALO, 2016. "South African Exchange Rate After 2000s: An Econometric Investigation," Journal of Economics Bibliography, KSP Journals, vol. 3(3), pages 459-481, September.
    2. Kebalo, Leleng, 2016. "South african exchange rate after 2000s: an econometric investigation," MPRA Paper 72440, University Library of Munich, Germany.
    3. Ntokozo Patrick Nzimande & Marcel Kohler, 2016. "On the Validity of Purchasing Power Parity: Evidence from Energy Exporting Sub-Saharan Africa Countries," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 66(3), pages 71-82, July-Sept.
    4. Philippe Bacchetta & Eric van Wincoop & Toni Beutler, 2010. "Can Parameter Instability Explain the Meese-Rogoff Puzzle?," NBER International Seminar on Macroeconomics, University of Chicago Press, vol. 6(1), pages 125-173.
    5. Wellmann, Dennis & Trück, Stefan, 2018. "Factors of the term structure of sovereign yield spreads," Journal of International Money and Finance, Elsevier, vol. 81(C), pages 56-75.
    6. Balázs Égert, 2012. "Nominal and Real Exchange Rate Models in South Africa: How Robust Are They?," EconomiX Working Papers 2012-18, University of Paris Nanterre, EconomiX.
    7. Harald Hau & Hélène Rey, 2006. "Exchange Rates, Equity Prices, and Capital Flows," The Review of Financial Studies, Society for Financial Studies, vol. 19(1), pages 273-317.
    8. Frankel, Jeffrey A., 2010. "The Natural Resource Curse: A Survey," Scholarly Articles 4454156, Harvard Kennedy School of Government.
    9. Frankel, Jeffrey A., 2012. "The Natural Resource Curse: A Survey of Diagnoses and Some Prescriptions," Scholarly Articles 8694932, Harvard Kennedy School of Government.
    10. Lu, Xinsheng & Li, Jianfeng & Zhou, Ying & Qian, Yubo, 2017. "Cross-correlations between RMB exchange rate and international commodity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 168-182.
    11. Feng, Wenjun & Zhang, Zhengjun, 2023. "Currency exchange rate predictability: The new power of Bitcoin prices," Journal of International Money and Finance, Elsevier, vol. 132(C).
    12. Frankel, Jeffrey, 2017. "How to Cope with Volatile Commodity Export Prices: Four Proposals," Working Paper Series rwp17-033, Harvard University, John F. Kennedy School of Government.
    13. Suyi Kim & So-Yeun Kim & Kyungmee Choi, 2020. "Effect of Oil Prices on Exchange Rate Movements in Korea and Japan Using Markov Regime-Switching Models," Energies, MDPI, vol. 13(17), pages 1-16, August.
    14. Balázs Egert, 2012. "Nominal and Real Exchange Rate Models in South Africa: How Robust Are They?," Working Papers hal-04141078, HAL.
    15. Wang, Wenhao & Cheung, Yin-Wong, 2023. "Commodity price effects on currencies," Journal of International Money and Finance, Elsevier, vol. 130(C).
    16. Arezki, Rabah & Dumitrescu, Elena & Freytag, Andreas & Quintyn, Marc, 2014. "Commodity prices and exchange rate volatility: Lessons from South Africa's capital account liberalization," Emerging Markets Review, Elsevier, vol. 19(C), pages 96-105.
    17. Trust R. Mpofu, 2021. "The determinants of real exchange rate volatility in South Africa," The World Economy, Wiley Blackwell, vol. 44(5), pages 1380-1401, May.
    18. Ren, Yu & Liang, Xuanxuan & Wang, Qin, 2021. "Short-term exchange rate forecasting: A panel combination approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    19. Breen, John David & Hu, Liang, 2021. "The predictive content of oil price and volatility: New evidence on exchange rate forecasting," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    20. Ismailov, Adilzhan & Rossi, Barbara, 2018. "Uncertainty and deviations from uncovered interest rate parity," Journal of International Money and Finance, Elsevier, vol. 88(C), pages 242-259.

    More about this item

    Keywords

    Volatility; exchange rate; gold price; DCC-GARCH model;
    All these keywords.

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • F3 - International Economics - - International Finance
    • G1 - Financial Economics - - General 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:pra:mprapa:72584. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.