IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-02145806.html

Asymmetric evidence of gasoline price responses in France: A Markov-switching approach

Author

Listed:
  • Raphael Homayoun Boroumand
  • Stéphane Goutte

    (LPMA - Laboratoire de Probabilités et Modèles Aléatoires - UPMC - Université Pierre et Marie Curie - Paris 6 - UPD7 - Université Paris Diderot - Paris 7 - CNRS - Centre National de la Recherche Scientifique)

  • Simon Porcher

    (IAE - Institut d'Administration des Entreprises)

  • Thomas Porcher

    (ESG Research Lab - ESG Management School)

Abstract

It has been documented that retail gasoline prices respond more quickly to increases in wholesale prices than they do to decreases in wholesale prices. However, there is little empirical evidence that identifies the link between the pass-through of oil prices to gasoline in different volatility regimes. Using a Markov-switching model on weekly observations of fuel prices from 1990 to 2011, we find that fuel prices respond significantly faster to increases in crude oil prices than to decreases in crude oil prices. However, when volatility is low, the transmittal of a price change from crude oil to retail fuel is higher compared to periods of high volatility. These results provide important information on the behavior of retailers. The findings of this paper therefore provide clues for better understanding the recent dynamics of fuel prices and some policy implications.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Raphael Homayoun Boroumand & Stéphane Goutte & Simon Porcher & Thomas Porcher, 2016. "Asymmetric evidence of gasoline price responses in France: A Markov-switching approach," Post-Print hal-02145806, HAL.
    • Handle: RePEc:hal:journl:hal-02145806
    DOI: 10.1016/j.econmod.2015.09.027
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Cavicchioli, Maddalena, 2024. "A matrix unified framework for deriving various impulse responses in Markov switching VAR: Evidence from oil and gas markets," The Journal of Economic Asymmetries, Elsevier, vol. 29(C).
    2. Abdhut Deheri & Stefy Carmel, 2024. "Do fluctuations in global crude oil prices have an asymmetric effect on oil product pricing in India?," Economic Change and Restructuring, Springer, vol. 57(1), pages 1-22, February.
    3. Bragoudakis, Zacharias & Degiannakis, Stavros & Filis, George, 2020. "Oil and pump prices: Testing their asymmetric relationship in a robust way," Energy Economics, Elsevier, vol. 88(C).
    4. Amountzias, Chrysovalantis, 2023. "Do petrol prices rise faster than they fall? Evidence from the UK retail and wholesale petrol sectors," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).
    5. He, Yongda & Lin, Boqiang, 2023. "Is market power the cause of asymmetric pricing in China's refined oil market?," Energy Economics, Elsevier, vol. 124(C).
    6. Zacharias Bragoudakis & Stavros Degiannakis & George Filis, 2019. "Oil and pump prices: is there any asymmetry in the Greek oil downstream sector?," Working Papers 268, Bank of Greece.
    7. Karol Szomolanyi & Martin Lukacik & Adriana Lukacikova, 2022. "Estimation of asymmetric responses of U.S. retail fuel prices to changes in input prices based on a linear exponential adjustment cost approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(2), pages 757-779, June.
    8. Kang, Wensheng & de Gracia, Fernando Perez & Ratti, Ronald A., 2019. "The asymmetric response of gasoline prices to oil price shocks and policy uncertainty," Energy Economics, Elsevier, vol. 77(C), pages 66-79.
    9. Hamid Baghestani & Jorg Bley, 2020. "Do directional predictions of US gasoline prices reveal asymmetries?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(2), pages 348-360, April.
    10. Boroumand, Raphaël Homayoun & Porcher, Thomas & Urom, Christian, 2021. "Negative oil price shocks transmission: The comparative effects of the GFC, shale oil boom, and Covid-19 downturn on French gasoline prices," Research in International Business and Finance, Elsevier, vol. 58(C).
    11. Bergantino, Angela S. & Intini, Mario & Nademi, Younes & Nuzzo, Federica, 2025. "Exploring cross-border energy policies and their impact on gasoline prices in Friuli Venezia Giulia, Italy," Energy Economics, Elsevier, vol. 144(C).
    12. Arezoo Ghazanfari & Armin Razmjoo, 2022. "The Effect of Market Isolation on Competitive Behavior in Retail Petrol Markets," Sustainability, MDPI, vol. 14(13), pages 1-33, July.
    13. Raphaël Homayoun Boroumand & Stéphane Goutte & Simon Porcher & Thomas Porcher, 2014. "A Conditional Markov Regime Switching Model to Study Margins: Application to the French Fuel Retail Markets," Working Papers hal-01090837, HAL.
    14. Pal, Debdatta & Mitra, Subrata K., 2016. "Asymmetric oil product pricing in India: Evidence from a multiple threshold nonlinear ARDL model," Economic Modelling, Elsevier, vol. 59(C), pages 314-328.
    15. Abdhut Deheri & Stefy Carmel, 2024. "Are the Responses of Oil Products Prices Asymmetrical to Global Crude Oil Price Shocks? Evidence from India," Working Papers 2024-265, Madras School of Economics,Chennai,India.
    16. Aktham I. Maghyereh & Osama D. Sweidan, 2020. "Do structural shocks in the crude oil market affect biofuel prices?," International Economics, CEPII research center, issue 164, pages 183-193.
    17. José María Martín-Moreno & Rafaela Pérez & Jesús Ruiz, 2019. "Evidence about asymmetric price transmission in the main European fuel markets: from TAR-ECM to Markov-switching approach," Empirical Economics, Springer, vol. 56(4), pages 1383-1412, April.
    18. Anthony N. Rezitis & Panagiotis Andrikopoulos & Theodoros Daglis, 2024. "Assessing the asymmetric volatility linkages of energy and agricultural commodity futures during low and high volatility regimes," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(3), pages 451-483, March.

    More about this item

    Keywords

    ;
    ;
    ;

    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:journl:hal-02145806. 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: 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.