IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v283y2023ics0360544223018194.html
   My bibliography  Save this article

Asymmetric price transmission and impulse responses from U.S. crude oil to jet fuel and diesel markets

Author

Listed:
  • Zhang, Wenbei
  • Luckert, Marty
  • Qiu, Feng

Abstract

Despite numerous studies on price interdependencies in petroleum markets, the exploration of price transmission from crude oil to jet fuel and diesel remains surprisingly limited. This knowledge gap is particularly remarkable given the increasing economic significance of these fuels and the emerging biojet and biodiesel industries. Filling this research gap, this study employs a nonlinear time series approach that considers unique features of these markets— ‘stickiness’ of firms' responses, asymmetric price adjustments, and the time-dependent responses to oil price shocks. This approach provides a much-needed understanding of long-term price relationships, short-term dynamic adjustments, and price response mechanisms to crude oil shocks in the context of jet fuel and diesel markets. Key results include: (1) both jet fuel and diesel have long-run equilibrium relationships with oil prices; (2) price adjustments of jet fuel and diesel are asymmetric, in opposite directions, due to distinct differences in industrial characteristics; (3) the responses of the two types of fuel prices to oil shocks show nonlinear dynamic paths, with different amplitudes and decay periods. The findings contribute to a better understanding of the current fuel industries, and provide insights into emerging biofuel markets, with implications for businesses and policymakers.

Suggested Citation

  • Zhang, Wenbei & Luckert, Marty & Qiu, Feng, 2023. "Asymmetric price transmission and impulse responses from U.S. crude oil to jet fuel and diesel markets," Energy, Elsevier, vol. 283(C).
  • Handle: RePEc:eee:energy:v:283:y:2023:i:c:s0360544223018194
    DOI: 10.1016/j.energy.2023.128425
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223018194
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2023.128425?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wolter, Alexander H. & Ehlers, Thorsten & Luetjens, Klaus & Gollnick, Volker, 2021. "Commodity price pass-through in the US airline industry and the hidden perks of consolidation," Journal of Air Transport Management, Elsevier, vol. 95(C).
    2. Miao, Hong & Ramchander, Sanjay & Wang, Tianyang & Yang, Dongxiao, 2017. "Influential factors in crude oil price forecasting," Energy Economics, Elsevier, vol. 68(C), pages 77-88.
    3. Caggiano, Giovanni & Castelnuovo, Efrem & Pellegrino, Giovanni, 2017. "Estimating the real effects of uncertainty shocks at the Zero Lower Bound," European Economic Review, Elsevier, vol. 100(C), pages 257-272.
    4. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    5. Joëts, Marc & Mignon, Valérie & Razafindrabe, Tovonony, 2017. "Does the volatility of commodity prices reflect macroeconomic uncertainty?," Energy Economics, Elsevier, vol. 68(C), pages 313-326.
    6. Bastianin, Andrea & Galeotti, Marzio & Manera, Matteo, 2014. "Forecasting the oil–gasoline price relationship: Do asymmetries help?," Energy Economics, Elsevier, vol. 46(S1), pages 44-56.
    7. Maslyuk, Svetlana & Smyth, Russell, 2009. "Non-linear unit root properties of crude oil production," Energy Economics, Elsevier, vol. 31(1), pages 109-118, January.
    8. Barry K. Goodwin & Nicholas E. Piggott, 2001. "Spatial Market Integration in the Presence of Threshold Effects," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(2), pages 302-317.
    9. Dutta, Anupam & Bouri, Elie & Saeed, Tareq & Vo, Xuan Vinh, 2020. "Impact of energy sector volatility on clean energy assets," Energy, Elsevier, vol. 212(C).
    10. Elsayed, Ahmed H. & Nasreen, Samia & Tiwari, Aviral Kumar, 2020. "Time-varying co-movements between energy market and global financial markets: Implication for portfolio diversification and hedging strategies," Energy Economics, Elsevier, vol. 90(C).
    11. Dahl, Carol A., 2012. "Measuring global gasoline and diesel price and income elasticities," Energy Policy, Elsevier, vol. 41(C), pages 2-13.
    12. Karagiannis, Stelios & Panagopoulos, Yannis & Vlamis, Prodromos, 2015. "Are unleaded gasoline and diesel price adjustments symmetric? A comparison of the four largest EU retail fuel markets," Economic Modelling, Elsevier, vol. 48(C), pages 281-291.
    13. A. Ford Ramsey & Barry K. Goodwin & William F. Hahn & Matthew T. Holt, 2021. "Impacts of COVID‐19 and Price Transmission in U.S. Meat Markets," Agricultural Economics, International Association of Agricultural Economists, vol. 52(3), pages 441-458, May.
    14. Timothy J. Richards & Miguel I. Gómez & Jun Lee, 2014. "Pass-Through and Consumer Search: An Empirical Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(4), pages 1049-1069.
    15. Chiu, Fan-Ping & Hsu, Chia-Sheng & Ho, Alan & Chen, Chi-Chung, 2016. "Modeling the price relationships between crude oil, energy crops and biofuels," Energy, Elsevier, vol. 109(C), pages 845-857.
    16. Shaeri, Komeil & Adaoglu, Cahit & Katircioglu, Salih T., 2016. "Oil price risk exposure: A comparison of financial and non-financial subsectors," Energy, Elsevier, vol. 109(C), pages 712-723.
    17. van Dijk, Dick & Hans Franses, Philip & Peter Boswijk, H., 2007. "Absorption of shocks in nonlinear autoregressive models," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4206-4226, May.
    18. Figus, Gioele & McGregor, Peter G. & Swales, J. Kim & Turner, Karen, 2020. "Do sticky energy prices impact the time paths of rebound effects associated with energy efficiency actions?," Energy Economics, Elsevier, vol. 86(C).
    19. Emmanuel Numapau Gyamfi & Kwabena A. Kyei, 2016. "Modeling Stock Market Returns under Self-exciting Threshold Autoregressive Model: Evidence from West Africa," International Journal of Economics and Financial Issues, Econjournals, vol. 6(3), pages 1194-1199.
    20. Blair, Benjamin F. & Campbell, Randall C. & Mixon, Phillip A., 2017. "Price pass-through in US gasoline markets," Energy Economics, Elsevier, vol. 65(C), pages 42-49.
    21. Fosten, Jack, 2012. "Rising household diesel consumption in the United States: A cause for concern? Evidence on asymmetric pricing," Energy Economics, Elsevier, vol. 34(5), pages 1514-1522.
    22. Fattouh, Bassam, 2010. "The dynamics of crude oil price differentials," Energy Economics, Elsevier, vol. 32(2), pages 334-342, March.
    23. Tim Lloyd, 2017. "Forty Years of Price Transmission Research in the Food Industry: Insights, Challenges and Prospects," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(1), pages 3-21, February.
    24. Adams, Zeno & Gerner, Mathias, 2012. "Cross hedging jet-fuel price exposure," Energy Economics, Elsevier, vol. 34(5), pages 1301-1309.
    25. Bilotkach, Volodymyr & Lakew, Paulos Ashebir, 2014. "On sources of market power in the airline industry: Panel data evidence from the US airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 288-305.
    26. Barry K. Goodwin & Matthew T. Holt & Jeffrey P. Prestemon, 2011. "North American Oriented Strand Board Markets, Arbitrage Activity, and Market Price Dynamics: A Smooth Transition Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(4), pages 993-1014.
    27. Bagnai, Alberto & Mongeau Ospina, Christian Alexander, 2018. "Asymmetries, outliers and structural stability in the US gasoline market," Energy Economics, Elsevier, vol. 69(C), pages 250-260.
    28. Valadkhani, Abbas & Smyth, Russell & Vahid, Farshid, 2015. "Asymmetric pricing of diesel at its source," Energy Economics, Elsevier, vol. 52(PA), pages 183-194.
    29. Michael Pippenger & Gregory Goering, 2000. "Additional results on the power of unit root and cointegration tests under threshold processes," Applied Economics Letters, Taylor & Francis Journals, vol. 7(10), pages 641-644.
    30. Halkos, George E. & Tsirivis, Apostolos S., 2019. "Effective energy commodity risk management: Econometric modeling of price volatility," Economic Analysis and Policy, Elsevier, vol. 63(C), pages 234-250.
    31. Ederington, Louis H. & Fernando, Chitru S. & Hoelscher, Seth A. & Lee, Thomas K. & Linn, Scott C., 2019. "A review of the evidence on the relation between crude oil prices and petroleum product prices," Journal of Commodity Markets, Elsevier, vol. 13(C), pages 1-15.
    32. Henriques, Irene & Sadorsky, Perry, 2010. "Can environmental sustainability be used to manage energy price risk?," Energy Economics, Elsevier, vol. 32(5), pages 1131-1138, September.
    33. repec:ipg:wpaper:2014-569 is not listed on IDEAS
    34. Farkas, Richárd & Yontcheva, Biliana, 2019. "Price transmission in the presence of a vertically integrated dominant firm: Evidence from the gasoline market," Energy Policy, Elsevier, vol. 126(C), pages 223-237.
    35. Mahdi Asgari & Sayed H. Saghaian & Michael R. Reed, 2020. "The Impact of Energy Sector on Overshooting of Agricultural Prices," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 589-606, March.
    36. Turner, Peter A. & Lim, Siew Hoon, 2015. "Hedging jet fuel price risk: The case of U.S. passenger airlines," Journal of Air Transport Management, Elsevier, vol. 44, pages 54-64.
    37. Jochen Meyer & Stephan von Cramon‐Taubadel, 2004. "Asymmetric Price Transmission: A Survey," Journal of Agricultural Economics, Wiley Blackwell, vol. 55(3), pages 581-611, November.
    38. Swidan, Hassan & Merkert, Rico, 2019. "The relative effect of operational hedging on airline operating costs," Transport Policy, Elsevier, vol. 80(C), pages 70-77.
    39. Mehmet Caner & Bruce E. Hansen, 2001. "Threshold Autoregression with a Unit Root," Econometrica, Econometric Society, vol. 69(6), pages 1555-1596, November.
    40. Asche, Frank & Gjolberg, Ole & Volker, Teresa, 2003. "Price relationships in the petroleum market: an analysis of crude oil and refined product prices," Energy Economics, Elsevier, vol. 25(3), pages 289-301, May.
    41. Bruce Hansen, 1999. "Testing for Linearity," Journal of Economic Surveys, Wiley Blackwell, vol. 13(5), pages 551-576, December.
    42. Ters, Kristyna & Urban, Jörg, 2020. "Estimating unknown arbitrage costs: Evidence from a 3-regime threshold vector error correction model," Journal of Financial Markets, Elsevier, vol. 47(C).
    43. Sun, Yuying & Zhang, Xun & Hong, Yongmiao & Wang, Shouyang, 2019. "Asymmetric pass-through of oil prices to gasoline prices with interval time series modelling," Energy Economics, Elsevier, vol. 78(C), pages 165-173.
    44. Caporin, Massimiliano & Fontini, Fulvio & Talebbeydokhti, Elham, 2019. "Testing persistence of WTI and Brent long-run relationship after the shale oil supply shock," Energy Economics, Elsevier, vol. 79(C), pages 21-31.
    45. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    46. Liu, Ming-Hua & Margaritis, Dimitris & Tourani-Rad, Alireza, 2010. "Is there an asymmetry in the response of diesel and petrol prices to crude oil price changes? Evidence from New Zealand," Energy Economics, Elsevier, vol. 32(4), pages 926-932, July.
    47. Scotti, Davide & Volta, Nicola, 2018. "Price asymmetries in European airfares," Economics of Transportation, Elsevier, vol. 14(C), pages 42-52.
    48. Jens-Peter Loy & Carsten Steinhagen & Christoph Weiss & Birgit Koch, 2018. "Price transmission and local market power: empirical evidence from the Austrian gasoline market," Applied Economics, Taylor & Francis Journals, vol. 50(53), pages 5728-5746, November.
    49. Berghöfer, Britta & Lucey, Brian, 2014. "Fuel hedging, operational hedging and risk exposure — Evidence from the global airline industry," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 124-139.
    50. Hansen,B.E., 1999. "Testing for linearity," Working papers 7, Wisconsin Madison - Social Systems.
    51. repec:taf:jnlbes:v:30:y:2012:i:2:p:165-172 is not listed on IDEAS
    52. Gjolberg, Ole & Johnsen, Thore, 1999. "Risk management in the oil industry: can information on long-run equilibrium prices be utilized?," Energy Economics, Elsevier, vol. 21(6), pages 517-527, December.
    53. Prasanna Surathkal & Chanjin Chung, 2019. "Effects of packers’ inventory and market power on price adjustments in the U.S. beef industry," Applied Economics, Taylor & Francis Journals, vol. 51(46), pages 5076-5089, October.
    54. Karakurt, Izzet & Aydin, Gokhan, 2023. "Development of regression models to forecast the CO2 emissions from fossil fuels in the BRICS and MINT countries," Energy, Elsevier, vol. 263(PA).
    55. Rahman, Sajjadur & Serletis, Apostolos, 2011. "The Asymmetric Effects Of Oil Price Shocks," Macroeconomic Dynamics, Cambridge University Press, vol. 15(S3), pages 437-471, November.
    56. Atil, Ahmed & Lahiani, Amine & Nguyen, Duc Khuong, 2014. "Asymmetric and nonlinear pass-through of crude oil prices to gasoline and natural gas prices," Energy Policy, Elsevier, vol. 65(C), pages 567-573.
    57. Pippenger, Michael K & Goering, Gregory E, 1993. "A Note on the Empirical Power of Unit Root Tests under Threshold Processes," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 55(4), pages 473-481, November.
    58. Nicholas Apergis & Sofia Eleftheriou & Dimitrios Voliotis, 2017. "Asymmetric Spillover Effects between Agricultural Commodity Prices and Biofuel Energy Prices," International Journal of Energy Economics and Policy, Econjournals, vol. 7(1), pages 166-177.
    59. Rahman, Sajjadur, 2016. "Another perspective on gasoline price responses to crude oil price changes," Energy Economics, Elsevier, vol. 55(C), pages 10-18.
    60. Khaloie, Hooman & Anvari-Moghaddam, Amjad & Contreras, Javier & Siano, Pierluigi, 2021. "Risk-involved optimal operating strategy of a hybrid power generation company: A mixed interval-CVaR model," Energy, Elsevier, vol. 232(C).
    61. repec:zbw:bofrdp:2017_006 is not listed on IDEAS
    62. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    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. Sergei Kharin & Zuzana Kapustova & Ivan Lichner, 2023. "Price transmission between maize and poultry product markets in the Visegrád Group countries: What is more nonlinear, egg or chicken?," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(12), pages 510-522.

    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. D. O. Olayungbo & T. A. Ojeyinka, 2022. "Crude oil prices pass-through to retail petroleum product prices in Nigeria: evidence from hidden cointegration approach," Economic Change and Restructuring, Springer, vol. 55(2), pages 951-972, May.
    2. Zhang, Wenbei & Qiu, Feng, 2024. "Rockets and Feathers in the Oil and Gasoline Markets: In-Depth Analysis of Three Asymmetries," 2024 Annual Meeting, July 28-30, New Orleans, LA 344062, Agricultural and Applied Economics Association.
    3. Ederington, Louis H. & Fernando, Chitru S. & Hoelscher, Seth A. & Lee, Thomas K. & Linn, Scott C., 2019. "A review of the evidence on the relation between crude oil prices and petroleum product prices," Journal of Commodity Markets, Elsevier, vol. 13(C), pages 1-15.
    4. Woo, Kai-Yin & Lee, Shu-Kam & Chan, Alan, 2014. "Non-linear adjustments to intranational PPP," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 360-371.
    5. Moutinho, Victor & Bento, João Paulo Cerdeira & Hajko, Vladimír, 2017. "Price relationships between crude oil and transport fuels in the European Union before and after the 2008 financial crisis," Utilities Policy, Elsevier, vol. 45(C), pages 76-83.
    6. Bakhat, Mohcine & Rosselló, Jaume & Sansó, Andreu, 2022. "Price transmission between oil and gasoline and diesel: A new measure for evaluating time asymmetries," Energy Economics, Elsevier, vol. 106(C).
    7. Chatziantoniou, Ioannis & Gabauer, David & Perez de Gracia, Fernando, 2022. "Tail risk connectedness in the refined petroleum market: A first look at the impact of the COVID-19 pandemic," Energy Economics, Elsevier, vol. 111(C).
    8. Cook, Steven & Fosten, Jack, 2019. "Replicating rockets and feathers," Energy Economics, Elsevier, vol. 82(C), pages 139-151.
    9. Mohammad J Alam & Raghbendra Jha, 2016. "Asymmetric threshold vertical price transmission in wheat and flour markets in Dhaka (Bangladesh): seemingly unrelated regression analysis," ASARC Working Papers 2016-03, The Australian National University, Australia South Asia Research Centre.
    10. Omid Zamani & Thomas Bittmann & Jens‐Peter Loy, 2022. "The role of temperature for seasonal market integration: a case study of poultry in Iran," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(1), pages 187-215, January.
    11. Zhang, Tao & Ma, Guofeng & Liu, Guangsheng, 2015. "Nonlinear joint dynamics between prices of crude oil and refined products," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 444-456.
    12. Subervie, Julie, 2011. "Producer price adjustment to commodity price shocks: An application of threshold cointegration," Economic Modelling, Elsevier, vol. 28(5), pages 2239-2246, September.
    13. 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.
    14. Katarzyna Leszkiewicz-Kędzior & Aleksander Welfe, 2014. "Asymmetric Price Adjustments in the Fuel Market," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 6(2), pages 105-127, June.
    15. 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).
    16. Gonzalo, Jesùs & Pitarakis, Jean-Yves, 2005. "Threshold effects In multivariate error correction models," Discussion Paper Series In Economics And Econometrics 0501, Economics Division, School of Social Sciences, University of Southampton.
    17. Monia Ben-Kaabia & José M. Gil & Mehrez Ameur, 2005. "Vertical integration and non-linear price adjustments: The Spanish poultry sector," Agribusiness, John Wiley & Sons, Ltd., vol. 21(2), pages 253-271.
    18. Mai, Thang Chien & Shakur, Shamim & Cassells, Sue, 2018. "Testing vertical price transmission for Vietnam’s Robusta coffee," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(4), October.
    19. Clark, J. Stephen & Cechura, Lukas & Berhanu, Adugna, 2011. "BSE Disease Outbreaks, Structural Change and Market Power in the Canadian Beef Industry," Working Papers 114097, Structure and Performance of Agriculture and Agri-products Industry (SPAA).
    20. Albulescu, Claudiu Tiberiu & Mutascu, Mihai Ioan, 2021. "Fuel price co-movements among France, Germany and Italy: A time-frequency investigation," Energy, Elsevier, vol. 225(C).

    More about this item

    Keywords

    Asymmetric price transmission; Threshold error correction; Generalized impulse response function (GIRF); Jet fuel; Diesel;
    All these keywords.

    JEL classification:

    • 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
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

    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:eee:energy:v:283:y:2023:i:c:s0360544223018194. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.