IDEAS home Printed from https://ideas.repec.org/p/war/wpaper/2020-07.html
   My bibliography  Save this paper

Price Transmission across Commodity Markets: Physical to Futures

Author

Listed:
  • Gilbert Mbara

    (Faculty of Economic Sciences, University of Warsaw)

Abstract

Primary commodity prices are generally determined in dual markets: a physical--spot market dominated by supplier--producers and a forward--futures market where consumers, producers and speculators interact. While the futures market operates on an almost continuous basis, the spot market only opens in predetermined short periods of time over which the state of supply and demand is revealed. This poses a challenge for the question of price dynamics: which market leads/follows and where does price discovery occur? We perform an empirical analysis using spot and futures coffee prices and find that most price information originates from the futures markets. Shocks to the spot price are quickly integrated into the market prices, with the effect of the shock quickly dying out or a new equilibrium being attained. A shock to the futures price almost always leads to a permanent change in prices leading to a new equilibrium.

Suggested Citation

  • Gilbert Mbara, 2020. "Price Transmission across Commodity Markets: Physical to Futures," Working Papers 2020-07, Faculty of Economic Sciences, University of Warsaw.
  • Handle: RePEc:war:wpaper:2020-07
    as

    Download full text from publisher

    File URL: https://www.wne.uw.edu.pl/index.php/download_file/5455/
    File Function: First version, 2020
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chen, Yu-chin & Turnovsky, Stephen J. & Zivot, Eric, 2014. "Forecasting inflation using commodity price aggregates," Journal of Econometrics, Elsevier, vol. 183(1), pages 117-134.
    2. Ciaian, Pavel & Kancs, d'Artis, 2011. "Interdependencies in the energy-bioenergy-food price systems: A cointegration analysis," Resource and Energy Economics, Elsevier, vol. 33(1), pages 326-348, January.
    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. Salisu, Afees A. & Ademuyiwa, Idris & Isah, Kazeem O., 2018. "Revisiting the forecasting accuracy of Phillips curve: The role of oil price," Energy Economics, Elsevier, vol. 70(C), pages 334-356.
    2. Deborah Bentivoglio & Adele Finco & Mirian Rumenos Piedade Bacchi, 2016. "Interdependencies between Biofuel, Fuel and Food Prices: The Case of the Brazilian Ethanol Market," Energies, MDPI, vol. 9(6), pages 1-16, June.
    3. Nyoni, Thabani & Nathaniel, Solomon Prince, 2018. "Modeling rates of inflation in Nigeria: an application of ARMA, ARIMA and GARCH models," MPRA Paper 91351, University Library of Munich, Germany.
    4. Nikitopoulos, Christina Sklibosios & Thomas, Alice Carole & Wang, Jianxin, 2023. "The economic impact of daily volatility persistence on energy markets," Journal of Commodity Markets, Elsevier, vol. 30(C).
    5. Ladislav Kristoufek & Karel Janda & David Zilberman, 2013. "Regime-dependent topological properties of biofuels networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 86(2), pages 1-12, February.
    6. Tule, Moses K. & Salisu, Afees A. & Chiemeke, Charles C., 2019. "Can agricultural commodity prices predict Nigeria's inflation?," Journal of Commodity Markets, Elsevier, vol. 16(C).
    7. Mandalinci, Zeyyad, 2017. "Forecasting inflation in emerging markets: An evaluation of alternative models," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1082-1104.
    8. Rosa, Franco & Vasciaveo, Michela & Weaver, Robert D., 2014. "Agricultural and oil commodities: price transmission and market integration between US and Italy," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 3(2), pages 1-25, August.
    9. Asche, Frank & Oglend, Atle, 2016. "The relationship between input-factor and output prices in commodity industries: The case of Norwegian salmon aquaculture," Journal of Commodity Markets, Elsevier, vol. 1(1), pages 35-47.
    10. Gbadebo Oladosu & Siwa Msangi, 2013. "Biofuel-Food Market Interactions: A Review of Modeling Approaches and Findings," Agriculture, MDPI, vol. 3(1), pages 1-19, February.
    11. Nemati, Mehdi, 2017. "Relationship among Energy, Bioenergy and Agricultural Commodity Prices: Re-Considering Structural Changes," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 5(3), July.
    12. Ahmadi, Maryam & Bashiri Behmiri, Niaz & Manera, Matteo, 2016. "How is volatility in commodity markets linked to oil price shocks?," Energy Economics, Elsevier, vol. 59(C), pages 11-23.
    13. Musunuru, Naveen Musunuru, 2017. "Causal Relationships Between Grain, Meat Prices And Exchange Rates," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 5(4), October.
    14. Heinz-Peter Witzke & Pavel Ciaian & Jacques Delince, 2014. "CAPRI long-term climate change scenario analysis: The AgMIP approach," JRC Research Reports JRC85872, Joint Research Centre.
    15. Natalia Brzezina & Birgit Kopainsky & Erik Mathijs, 2016. "Can Organic Farming Reduce Vulnerabilities and Enhance the Resilience of the European Food System? A Critical Assessment Using System Dynamics Structural Thinking Tools," Sustainability, MDPI, vol. 8(10), pages 1-32, September.
    16. Duncan, Roberto & Martínez-García, Enrique, 2019. "New perspectives on forecasting inflation in emerging market economies: An empirical assessment," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1008-1031.
    17. Piroli, Giuseppe & Rajcaniova, Miroslava & Ciaian, Pavel & Kancs, d׳Artis, 2015. "From a rise in B to a fall in C? SVAR analysis of environmental impact of biofuels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 921-930.
    18. Jingye Li, 2021. "The Effect of Oil Price on China’s Grain Prices: a VAR model," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 11(1), pages 1-5.
    19. María Blanco & Marcel Adenäuer & Shailesh Shrestha & Arno Becker, 2012. "Methodology to assess EU Biofuel Policies: The CAPRI Approach," JRC Research Reports JRC80037, Joint Research Centre.
    20. Štěpán Chrz & Karel Janda & Ladislav Krištoufek, 2014. "Modelování provázanosti trhů potravin, biopaliv a fosilních paliv [Modeling Interconnections within Food, Biofuel, and Fossil Fuel Markets]," Politická ekonomie, Prague University of Economics and Business, vol. 2014(1), pages 117-140.

    More about this item

    Keywords

    Price transmission; futures markets; VECM; Cointegrated VARMA;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; 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:war:wpaper:2020-07. 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: Marcin Bąba (email available below). General contact details of provider: https://edirc.repec.org/data/fesuwpl.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.