Brent vs. West Texas Intermediate in the US petro derivatives price formation

  1. Almeida, Alejandro 2
  2. Golpe, Antonio A. 3
  3. Martín-Alvarez, Juan Manuel 2
  4. Vides, Jose Carlos 1
  1. 1 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

  2. 2 Universidad Internacional de La Rioja, Department of Quantitative Methods for Economics and Business, La Rioja, Spain
  3. 3 University of Huelva, Department of Economics and Centro de Estudios Avanzados en Fisica, Matematicas y Computacion and ICEI, Huelva, Spain
Revista:
Petroleum Science

ISSN: 1995-8226

Año de publicación: 2023

Tipo: Artículo

DOI: 10.1016/J.PETSCI.2023.09.007 GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Petroleum Science

Resumen

In this paper, we apply the spatial panel model to explore the relationship between the dynamic of two types of crude oil prices (WTI and Brent crude oil) and their refined products over time. Considering the turbulent months of 2011, when Cushing Oklahoma had reached capacity and the crude oil export ban removal in 2015 as breakpoints, we apply this method both in the full sample and the three resultant regimes. First, results suggest our results show that both WTI and Brent display very similar behaviour with the refined products. Second, when attending to each regime, results derived from the first and third regimes are quite similar to the full sample results. Therefore, during the second regime, Brent crude oil became the benchmark in the petrol market, and it influenced the distillate products. Furthermore, our model can let us determine the price-setters and price-followers in the price formation mechanism through refined products. These results possess important considerations to policymakers and the market participants and the price formation.

Referencias bibliográficas

  • Afkhami, (2017), SSRN Elecronic J., 10.2139/ssrn.2991633
  • Ahundjanov, (2020), Entropy, 22, pp. 791, 10.3390/e22070791
  • Al-Gudhea, (2007), J. Econ. Bus., 59, pp. 560, 10.1016/j.jeconbus.2006.10.002
  • Albulescu, (2020), SSRN Elecronic J., 10.2139/ssrn.3553452
  • Asche, (2003), Energy Econ., 25, pp. 289, 10.1016/S0140-9883(02)00110-X
  • Bagnai, (2018), Energy Econ., 69, pp. 250, 10.1016/j.eneco.2017.11.014
  • Bai, (1998), Econometrica, 66, pp. 47, 10.2307/2998540
  • Bai, (2003), J. Appl. Econom., 18, pp. 1, 10.1002/jae.659
  • Bailey, (2016), J. Appl. Econom., 31, pp. 249, 10.1002/jae.2468
  • Bakas, (2020), Econ. Lett., 193, 10.1016/j.econlet.2020.109283
  • Bakhat, (2022), Energy Econ., 106, 10.1016/j.eneco.2021.105766
  • Barros, (2011), Energy Pol., 39, pp. 442, 10.1016/j.enpol.2010.10.024
  • Baumeister, (2017), J. Appl. Econom., 32, pp. 275, 10.1002/jae.2510
  • Beck, (2006), Int. Stud. Q., 50, pp. 27, 10.1111/j.1468-2478.2006.00391.x
  • Billio, (2020)
  • Borenstein, (1997), Q. J. Econ., 112, pp. 305, 10.1162/003355397555118
  • Caporin, (2019), Energy Econ., 79, pp. 21, 10.1016/j.eneco.2018.08.022
  • Caro, (2020), Energy Econ., 85
  • Chesnes, (2015), Energy Econ., 50, pp. 324, 10.1016/j.eneco.2015.05.008
  • Dahlhaus, (2021)
  • Douglas, (2010), Energy Econ., 32, pp. 918, 10.1016/j.eneco.2009.12.002
  • Ederington, (2019), J. Commod. Mark., 14, pp. 1, 10.1016/j.jcomm.2018.09.001
  • Ederington, (2019), J. Commod. Mark., 13, pp. 1, 10.1016/j.jcomm.2018.09.002
  • Ederington, (2021), Energy Econ., 94, 10.1016/j.eneco.2020.105079
  • (2014)
  • (2014)
  • Elhorst, (2010), Spatial Econ. Anal., 5, pp. 9, 10.1080/17421770903541772
  • Elhorst, (2014), pp. 37
  • Elhorst, (2021), Rev. Reg. Res., pp. 1
  • Fattouh, (2011)
  • Fernandez, (2011), Quant. Finance, 11, pp. 237, 10.1080/14697680903127403
  • Fousekis, (2017), J. Commod. Mark., 7, pp. 57, 10.1016/j.jcomm.2017.08.003
  • Frees, (1995), J. Econom., 69, pp. 393, 10.1016/0304-4076(94)01658-M
  • Galeotti, (2003), Energy Econ., 25, pp. 175, 10.1016/S0140-9883(02)00102-0
  • Ghoddusi, (2021)
  • Gil-Alana, (2021), Energy Research Letters, 1, pp. 1
  • Gil-Alana, (2014), Energy Econ., 45, pp. 511, 10.1016/j.eneco.2014.08.018
  • Girma, (2002), J. Futures Mark.: Futures, Options, Other Deriv. Prod., 22, pp. 1083, 10.1002/fut.10047
  • Gjolberg, (1999), Energy Econ., 21, pp. 517, 10.1016/S0140-9883(99)00023-7
  • Grasso, (2007), Energy Pol., 35, pp. 156, 10.1016/j.enpol.2005.10.016
  • Halleck Vega, (2016), Reg. Sci. Urban Econ., 60, pp. 85, 10.1016/j.regsciurbeco.2016.07.002
  • Hammoudeh, (2003), N. Am. J. Econ. Finance, 14, pp. 89, 10.1016/S1062-9408(02)00112-2
  • Jefferson, (2020), Energy Res. Social Sci., 68, 10.1016/j.erss.2020.101669
  • Kao, (2012), Energy Econ., 34, pp. 117, 10.1016/j.eneco.2011.03.004
  • Kaufmann, (2009), Energy Pol., 37, pp. 644, 10.1016/j.enpol.2008.09.052
  • Kaufmann, (2005), Energy Pol., 33, pp. 1587, 10.1016/j.enpol.2004.01.013
  • King, (2012), Bates White Econ. Consult., 1, pp. 53
  • Korniotis, (2010), J. Bus. Econ. Stat., 28, pp. 145, 10.1198/jbes.2009.08041
  • Kristoufek, (2015), Energy Econ., 49, pp. 1, 10.1016/j.eneco.2015.01.013
  • Lahiani, (2017), Energy Pol., 102, pp. 318, 10.1016/j.enpol.2016.12.031
  • Lanza, (2005), Energy Econ., 27, pp. 831, 10.1016/j.eneco.2005.07.001
  • Li, (2021), Appl. Soft Comput., 113, 10.1016/j.asoc.2021.108032
  • Liu, (2014), Phys. Stat. Mech. Appl., 413, pp. 284, 10.1016/j.physa.2014.07.007
  • Lu, (2020), Energy Econ., 87, 10.1016/j.eneco.2020.104721
  • Martínez, (2018), Appl. Energy, 228, pp. 1550, 10.1016/j.apenergy.2018.07.021
  • Miao, (2017), Energy Econ., 68, pp. 77, 10.1016/j.eneco.2017.09.010
  • Oladosu, (2021), J. Commod. Mark.
  • Oladunjoye, (2008), Energy Econ., 30, pp. 937, 10.1016/j.eneco.2007.09.009
  • Ozili, (2020)
  • Parent, (2010), Transp. Res. Part B Methodol., 44, pp. 633, 10.1016/j.trb.2010.01.004
  • Parent, (2011), Comput. Stat. Data Anal., 55, pp. 475, 10.1016/j.csda.2010.05.016
  • Perifanis, (2021), Energy Sources B Energy Econ. Plann., 16, pp. 787, 10.1080/15567249.2021.1922956
  • Pesaran, (2015), Econom. Rev., 34, pp. 1089, 10.1080/07474938.2014.956623
  • Pirog, (2005)
  • Población, (2016), Int. Rev. Econ. Finance, 44, pp. 169, 10.1016/j.iref.2016.04.011
  • Salisu, (2017), Energy, 125, pp. 97, 10.1016/j.energy.2017.02.128
  • Sharif, (2020), Int. Rev. Financ. Anal., 70, 10.1016/j.irfa.2020.101496
  • Tiwari, (2021), Res. Int. Bus. Finance, 57, 10.1016/j.ribaf.2021.101403
  • Tobler, (1970), Econ. Geogr., 46, pp. 234, 10.2307/143141
  • Tong, (2013), Energy Econ., 40, pp. 882, 10.1016/j.eneco.2013.10.008
  • Vega, (2016), Reg. Sci. Urban Econ., 60, pp. 85, 10.1016/j.regsciurbeco.2016.07.002
  • Vides, (2021), Energy Sources B Energy Econ. Plann., 16, pp. 951, 10.1080/15567249.2021.1986172
  • Yellen, (2011)
  • Zavaleta, (2015), Energy Econ., 47, pp. 206, 10.1016/j.eneco.2014.11.007
  • Zhang, (2015), Phys. Stat. Mech. Appl., 419, pp. 444, 10.1016/j.physa.2014.10.061