Price volatility spillovers between Canadian and US, agricultural and fuel markets

References

• Serra T, Zilberman D. Biofuel-related price transmission literature: a review. Energy Econ. 2013;37:141–151. https://doi.org/10.1016/j.eneco.2013.02.014.
   Web of Science ®Google Scholar
• Balcombe K, Rapsomanikis G. Bayesian estimation and selection of nonlinear vector error correction models: the case of the Sugar-Ethanol-Oil nexus in Brazil. Am J Agric Econ. 2008;90(3):658–668. https://doi.org/10.1111/j.1467-8276.2008.01136.x.
   Web of Science ®Google Scholar
• Busse S, Brummer B, Ihle R. Price formation in the German biodiesel supply chain: a Markov-switching vector-error correction modeling approach. Agric Econ. 2012;43(5):545–560. https://doi.org/10.1111/j.1574-0862.2012.00602.x.
   Web of Science ®Google Scholar
• Cabrera BL, Schulz F. Volatility linkages between energy and agricultural commodity prices. Energy Econ. 2016;54:190–203. https://doi.org/10.1016/j.eneco.2015.11.018.
   Web of Science ®Google Scholar
• Campiche JL, Bryant HL, Richardson JW, et al. Examining the evolving correspondence between petroleum prices and agricultural commodity prices. American agricultural economics association annual meeting. Portland, OR; 2007.
   Google Scholar
• Chang C-L, Liu C-P, McAleer M. Volatility spillovers for spot, futures, and ETF prices in agriculture and energy. Energy Econ. 2019;81:779–792. https://doi.org/10.1016/j.eneco.2019.04.017.
   Web of Science ®Google Scholar
• Du X, Yu CL, Hayes DJ. Speculation and volatility spillover in the crude oil and agricultural commodity markets: a Bayesian analysis. Energy Econ. 2011;33(3):497–503. https://doi.org/10.1016/j.eneco.2010.12.015.
   Web of Science ®Google Scholar
• Dutta A, Noor MH. Oil and non-energy commodity markets: an empirical analysis of volatility spillovers and hedging effectiveness. Cogent Econ Finance. 2017;5(1):1324555. https://doi.org/10.1080/23322039.2017.1324555.
   Web of Science ®Google Scholar
• Serra T. Time-series econometric analyses of biofuel-related price volatility. Agric Econ. 2013;44(s1):53–62. https://doi.org/10.1111/agec.12050.
   Google Scholar
• Serra T. Volatility spillovers between food and energy markets: a semiparametric approach. Energy Econ. 2011;33(6):1155–1164. https://doi.org/10.1016/j.eneco.2011.04.003.
   Web of Science ®Google Scholar
• Walters C. Price volatility transmission between U.S. biofuel, corn, and oil markets. Cornhusker Economics. 2018 March 7. https://agecon.unl.edu/cornhusker-economics/2018/price-volatility-transmission-biofuel-corn-oil-markets.
   Google Scholar
• Xiarchos IM, Burnett JW. Dynamic volatility spillovers between agricultural and energy commodities. J Agric Appl Econ. 2018;50(3):291–318. https://doi.org/10.1017/aae.2017.34.
   Web of Science ®Google Scholar
• Zhang Z, Lohr L, Escalante CL, et al. Mitigating volatile U.S. gasoline prices and internalizing external costs: a win-win fuel portfolio. Am J Agric Econ. 2008;90(5):1218–1225. https://doi.org/10.1111/j.1467-8276.2008.01207.x.
   Web of Science ®Google Scholar
• Trujillo-Barrera A, Mallory M, Garcia P. Volatility spillovers in U.S. crude oil, ethanol, and corn futures markets. J Agric Resour Econ. 2012;37(2):247–262. https://www.jstor.org/stable/23496711.
   Web of Science ®Google Scholar
• Mensi W, Hammoudeh S, Nguyen DK, et al. Dynamic spillovers among major energy and cereal commodity prices. Energy Econ. 2014;43:225–243. https://doi.org/10.1016/j.eneco.2014.03.004.
   Web of Science ®Google Scholar
• Karali B. Do USDA announcements affect comovements across commodity futures returns? J Agric Resour Econ. 2012;37(1):77–97. https://www.jstor.org/stable/23243050.
   Web of Science ®Google Scholar
• Demirer R, Kutan AM, Shen F. The effect of ethanol listing on corn prices: evidence from spot and futures markets. Energy Econ. 2012;34(5):1400–1406. https://doi.org/10.1016/j.eneco.2012.06.018.
   Web of Science ®Google Scholar
• Gardebroek C, Hernandez MA. Do energy prices stimulate food price volatility? Examining volatility transmission between US oil, ethanol and corn markets. Energy Econ. 2013;40:119–129. https://doi.org/10.1016/j.eneco.2013.06.013.
   Web of Science ®Google Scholar
• Ji Q, Fan Y. How does oil price volatility affect non-energy commodity markets? Appl Energy. 2012;89(1):273–280. https://doi.org/10.1016/j.apenergy.2011.07.038.
   Web of Science ®Google Scholar
• Kang SH, McIver R, Yoon S-M. Dynamic spillover effects among crude oil, precious metal, and agricultural commodity futures markets. Energy Econ. 2017;62:19–32. https://doi.org/10.1016/j.eneco.2016.12.011.
   Web of Science ®Google Scholar
• Lu Y, Yang L, Liu L. Volatility spillovers between crude oil and agricultural commodity markets since the financial crisis. Sustainability. 2019;11(2):396. https://doi.org/10.3390/su11020396.
   Web of Science ®Google Scholar
• Fernandez-Perez A, Frijns B, Tourani-Rad A. Contemporaneous interactions among fuel, biofuel and agricultural commodities. Energy Econ. 2016;58:1–10. https://doi.org/10.1016/j.eneco.2016.05.014.
   Web of Science ®Google Scholar
• Chang C-L, Li H, Chen S, et al. Asymmetric adjustments in the ethanol and grains markets. Energy Econ. 2012;34(6):1990–2002. https://doi.org/10.1016/j.eneco.2012.07.026.
   Web of Science ®Google Scholar
• McKnight C, Qiu F, Luckert M, et al. Prices for a second-generation biofuel industry in Canada: market linkages between Canadian wheat and US energy and agricultural commodities. Can J Agric Econ. 2021;69(3):337–351. https://doi.org/10.1111/cjag.12295.
   Web of Science ®Google Scholar
• Chu P, Vanderghem C, MacLean HL, et al. Financial analysis and risk assessment of hydroprocessed renewable jet fuel production from camelina, carinata and used cooking oil. Appl Energy. 2017;198:401–409. https://doi.org/10.1016/j.apenergy.2016.12.001.
   Web of Science ®Google Scholar
• Diniz A, Paula MM, Sargeant R, et al. Stochastic techno-economic analysis of the production of aviation biofuel from oilseeds. Biotechnol Biofuels. 2018;11(1):1–15. https://doi.org/10.1186/s13068-018-1158-0.
   PubMedGoogle Scholar
• Al-Saadi LS, Eze VC, Harvey AP. Techno-economic analysis of glycerol valorization via catalytic applications of sulphonic acid-functionalized copolymer beads. Front Chem. 2019;7:882. https://doi.org/10.3389/fchem.2019.00882.
   PubMed Web of Science ®Google Scholar
• Al-Saadi LS, Eze VC, Harvey AP. A technoeconomic analysis based upon a parametric study of alkali-catalysed biodiesel production from feedstocks with high free fatty acid and water contents. Biofuels. 2022a;13(4):401–413.
   Google Scholar
• Al-Saadi LS, Eze VC, Harvey AP. Techno-economic analysis of processes for biodiesel production with integrated coproduction of higher added value products from glycerol. Biofuels. 2022b;13(4):489–496.
   Google Scholar
• Botshekan M, Moheb A, Vatankhah F, et al. Energy saving alternatives for renewable ethanol production with the focus on separation/purification units: a techno-economic analysis. Energy. 2022;239:122363. https://doi.org/10.1016/j.energy.2021.122363.
   Web of Science ®Google Scholar
• Johansen S. Estimation and hypothesis testing of cointegration vectors in gaussian vector autoregressive models. Econometrica. 1991;59(6):1551–1580. https://doi.org/10.2307/2938278.
   Web of Science ®Google Scholar
• Engle RF, Granger W. Co-integration and error correction: representation, estimation, and testing. Econometrica. 1987;55(2):251–276. https://doi.org/10.2307/1913236.
   Web of Science ®Google Scholar
• Board of Governors of the Federal Reserve System (US). Canada/U.S. foreign exchange rate [DEXCAUS]. FRED, Federal Reserve Bank of St. Louis; 2020. https://fred.stlouisfed.org/series/DEXCAUS.
   Google Scholar
• Hildebrand E. Neglecting parameter changes in GARCH models. J Econom. 2005;129:121–138. https://doi.org/10.1016/j.jeconom.2004.09.005.
   Web of Science ®Google Scholar
• Nyblom J. Testing for the constancy of parameters over time. J Am Stat Assoc. 1989;84(405):223–230. https://doi.org/10.2307/2289867.
   Web of Science ®Google Scholar
• An H, Qiu F, Rude J. Volatility spillovers between food and fuel markets: do administrative regulations affect the transmission? Econ Model. 2021;102:105552. https://doi.org/10.1016/j.econmod.2021.105552.
   Web of Science ®Google Scholar
• Abbott Philip C, Hurt C, Tyner Wallace E, et al. What’s driving food prices? Issue Reports. Farm Foundation; 2008.
   Google Scholar
• Serletis A, Xu L. The ethanol mandate and crude oil and biofuel agricultural commodity price dynamics. J Commod Mark. 2019;15:100068. https://doi.org/10.1016/j.jcomm.2018.07.001.
   Web of Science ®Google Scholar
• Saghaian S, Nemati M, Walters C, et al. Asymmetric price volatility transmission between U.S. biofuel, corn, and oil markets. J Agric Res Econ. 2018;43:46–60. http://www.jstor.org/stable/44840974.
   Web of Science ®Google Scholar
• Rahman S, Serletis A. Oil price uncertainty and the Canadian economy: evidence from a VARMA, GARCH-in-Mean, asymmetric BEKK model. Energy Econ. 2012;34(2):603–610. https://doi.org/10.1016/j.eneco.2011.08.014.
   Web of Science ®Google Scholar
• Salisu AA, Oloko TF. Modeling oil price–US stock nexus: a VARMA-BEKK-AGARCH approach. Energy Econ. 2015;50:1–12.
   Web of Science ®Google Scholar
• Mallory ML, Irwin SH, Hayes DJ. How market efficiency and the theory of storage link corn and ethanol markets. Energy Econ. 2012;34(6):2157–2166. https://doi.org/10.1016/j.eneco.2012.03.011.
   Web of Science ®Google Scholar
• Meyer J, Cramon-Taubadel S. Asymmetric price transmission: a survey. J Agric Econ. 2004;55(3):581–611.
   Web of Science ®Google Scholar