IDEAS home Printed from https://ideas.repec.org/p/usi/wpaper/759.html
   My bibliography  Save this paper

Dynamic Relationship of Commodities prices and EUR/USD exchange rate trends in the recent past

Author

Listed:
  • Michele Patanè
  • Mattia Tedesco
  • Stefano Zedda

Abstract

Gold and Oil have always had a central role within the international economy, and meet the interests of many investors, and in particular, speculators. The Euro introduction (1999) has added the Euro-Dollar exchange rate as a further main variable that the operators, investing on these commodities, have to consider when implementing their strategies. This paper analyzes the mutual relationship between commodities prices (gold and oil) and the Euro/Dollar exchange rate, within the time frame from 2004 to 2014, so to find which specific variable can give significant information on the ex-pected variation of which other variable, and on which time horizon. This can support the of investors’ choices on tak-ing more effective speculative positions. Results obtained by means of a VAR model show some significant statistical relationship between the three variables on the short term (i.e. when considering daily data), but also some possible relationship on a longer term (monthly data), suggesting that oil prices can give significant information on the expected value of the Euro/Dollar exchange rate.

Suggested Citation

  • Michele Patanè & Mattia Tedesco & Stefano Zedda, 2017. "Dynamic Relationship of Commodities prices and EUR/USD exchange rate trends in the recent past," Department of Economics University of Siena 759, Department of Economics, University of Siena.
  • Handle: RePEc:usi:wpaper:759
    as

    Download full text from publisher

    File URL: http://repec.deps.unisi.it/quaderni/759.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Basher, Syed Abul & Haug, Alfred A. & Sadorsky, Perry, 2012. "Oil prices, exchange rates and emerging stock markets," Energy Economics, Elsevier, vol. 34(1), pages 227-240.
    2. Domenico Ferraro & Ken Rogoff & Barbara Rossi, 2011. "Can Oil Prices Forecast Exchange Rates?," Working Papers 11-05, Duke University, Department of Economics.
    3. Zhang, Hui Jun & Dufour, Jean-Marie & Galbraith, John W., 2016. "Exchange rates and commodity prices: Measuring causality at multiple horizons," Journal of Empirical Finance, Elsevier, vol. 36(C), pages 100-120.
    4. Myeong Hwan Kim & David A. Dilts, 2011. "The Relationship of the value of the Dollar, and the Prices of Gold and Oil: A Tale of Asset Risk," Economics Bulletin, AccessEcon, vol. 31(2), pages 1151-1162.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Md. Rayhanul Islam & Huang Xiaoling, 2022. "Impact of Everything But Arms (EBA) on the Dhaka Stock Exchange," International Journal of Science and Business, IJSAB International, vol. 7(1), pages 34-52.

    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. Liu, Li & Tan, Siming & Wang, Yudong, 2020. "Can commodity prices forecast exchange rates?," Energy Economics, Elsevier, vol. 87(C).
    2. Yang, Lu & Cai, Xiao Jing & Hamori, Shigeyuki, 2018. "What determines the long-term correlation between oil prices and exchange rates?," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 140-152.
    3. Beckmann, Joscha & Czudaj, Robert L. & Arora, Vipin, 2020. "The relationship between oil prices and exchange rates: Revisiting theory and evidence," Energy Economics, Elsevier, vol. 88(C).
    4. Olivier Rousse & Benoît Sévi, 2017. "Informed Trading in Oil-Futures Market," Working Papers hal-01460186, HAL.
    5. Beckmann, Joscha & Czudaj, Robert, 2013. "Is there a homogeneous causality pattern between oil prices and currencies of oil importers and exporters?," Energy Economics, Elsevier, vol. 40(C), pages 665-678.
    6. Jung, Young Cheol & Das, Anupam & McFarlane, Adian, 2020. "The asymmetric relationship between the oil price and the US-Canada exchange rate," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 198-206.
    7. Olivier Rousse & Benoît Sévi, 2016. "Informed Trading in Oil-Futures Market," Working Papers hal-01410093, HAL.
    8. Davood Pirayesh Neghab & Mucahit Cevik & M. I. M. Wahab, 2023. "Explaining Exchange Rate Forecasts with Macroeconomic Fundamentals Using Interpretive Machine Learning," Papers 2303.16149, arXiv.org.
    9. Chaturvedi, Priya & Kumar, Kuldeep, 2022. "Econometric modelling of exchange rate volatility using mixed-frequency data," MPRA Paper 115222, University Library of Munich, Germany.
    10. Laurent Ferrara & Aikaterina Karadimitropoulou & Athanasios Triantafyllou & Theodora Bermpei, 2022. "Commodity currencies revisited: The role of global commodity price uncertainty," Working Papers hal-04159791, HAL.
    11. Alhassan, Abdulrahman & Basher, Syed Abul & Kabir Hassan, M., 2019. "Oil subsidies and the risk exposure of oil-user stocks: Evidence from net oil producers," Resources Policy, Elsevier, vol. 61(C), pages 461-472.
    12. Kunkler, Michael & MacDonald, Ronald, 2019. "The multilateral relationship between oil and G10 currencies," Energy Economics, Elsevier, vol. 78(C), pages 444-453.
    13. Zhang, Hui Jun & Dufour, Jean-Marie & Galbraith, John W., 2016. "Exchange rates and commodity prices: Measuring causality at multiple horizons," Journal of Empirical Finance, Elsevier, vol. 36(C), pages 100-120.
    14. Felix Kapfhammer & Vegard H. Larsen & Leif Anders Thorsrud, 2020. "Climate risk and commodity currencies," Working Paper 2020/18, Norges Bank.
    15. Wen, Shaobo & An, Haizhong & Chen, Zhihua & Liu, Xueyong, 2017. "Driving factors of interactions between the exchange rate market and the commodity market: A wavelet-based complex network perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 299-308.
    16. Benjamin Mudiangombe Mudiangombe & John Weirstrass Muteba Mwamba, 2023. "Dependence Structure and Time–Frequency Impact of Exchange Rates on Crude Oil and Stock Markets of BRICS Countries: Markov-Switching-Based Wavelet Analysis," JRFM, MDPI, vol. 16(7), pages 1-29, July.
    17. Alam, Md. Samsul & Shahzad, Syed Jawad Hussain & Ferrer, Román, 2019. "Causal flows between oil and forex markets using high-frequency data: Asymmetries from good and bad volatility," Energy Economics, Elsevier, vol. 84(C).
    18. Boubakri, Salem & Guillaumin, Cyriac & Silanine, Alexandre, 2019. "Non-linear relationship between real commodity price volatility and real effective exchange rate: The case of commodity-exporting countries," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 212-228.
    19. Evgenia Passari, 2015. "Commodity Currencies Revisited," Post-Print hal-01453266, HAL.
    20. Joscha Beckmann & Robert Czudaj, 2013. "Is there a Homogeneous Causality Pattern between Oil Prices and Currencies of Oil Importers and Exporters?," Ruhr Economic Papers 0431, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.

    More about this item

    Keywords

    Commodities; Euro/Dollar Exchange Rate; Relationship;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • 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:usi:wpaper:759. 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: Fabrizio Becatti (email available below). General contact details of provider: https://edirc.repec.org/data/desieit.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.