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Evaluating the economy embedded in the Brazilian ethanol--gasoline flex-fuel car: a Real Options approach

Author

Listed:
  • Carlos Patricio Samanez
  • L鯠da Rocha Ferreira
  • Carolina Caldas do Nascimento
  • Let de Almeida Costa
  • Claudio R. S. Bisso

Abstract

The introduction of the flex-fuel cars in the Brazilian market in 2003 changed considerably the consumer decision-making process. Prior to this date, it was necessary to choose the automobile type only by gasoline or by ethanol fuel; today it is possible to choose a car type with both fuel options. This flexibility generates economic advantages for his owner, but what are the financial benefits of a flex-fuel car in comparison with a car using only gasoline? Geographically, where is the owner of the benefits from this flexibility located? This article presents an empirical application of the Real Options Theory in the analysis of the flex-fuel car option for five geographic Brazilian regions: Northern, Northeastern, Central-Western, Southeastern and Southern. The regional price differences as well as the consumer preferences of these regions were met. For this purpose, historical fuel prices were considered stochastic and following a Mean Reverting Stochastic process. The prediction and option values were generated by a Monte Carlo simulation. The results indicated that the option embedded on the Brazilian flex-fuel car adds considerable value to the owner in all regions and car models considered, with the Southeastern Region receiving most benefits by the flex option.

Suggested Citation

  • Carlos Patricio Samanez & L鯠da Rocha Ferreira & Carolina Caldas do Nascimento & Let de Almeida Costa & Claudio R. S. Bisso, 2014. "Evaluating the economy embedded in the Brazilian ethanol--gasoline flex-fuel car: a Real Options approach," Applied Economics, Taylor & Francis Journals, vol. 46(14), pages 1565-1581, May.
    • Handle: RePEc:taf:applec:v:46:y:2014:i:14:p:1565-1581
    DOI: 10.1080/00036846.2013.877573
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    1. Bessembinder, Hendrik, et al, 1995. "Mean Reversion in Equilibrium Asset Prices: Evidence from the Futures Term Structure," Journal of Finance, American Finance Association, vol. 50(1), pages 361-375, March.
    2. Schwartz, Eduardo S, 1997. "The Stochastic Behavior of Commodity Prices: Implications for Valuation and Hedging," Journal of Finance, American Finance Association, vol. 52(3), pages 923-973, July.
    3. John Y. Campbell & N. Gregory Mankiw, 1987. "Are Output Fluctuations Transitory?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(4), pages 857-880.
    4. Bastian-Pinto, Carlos & Brando, Luiz & Hahn, Warren J., 2009. "Flexibility as a source of value in the production of alternative fuels: The ethanol case," Energy Economics, Elsevier, vol. 31(3), pages 411-422, May.
    5. Cochrane, John H, 1988. "How Big Is the Random Walk in GNP?," Journal of Political Economy, University of Chicago Press, vol. 96(5), pages 893-920, October.
    6. Gibson, Rajna & Schwartz, Eduardo S, 1990. "Stochastic Convenience Yield and the Pricing of Oil Contingent Claims," Journal of Finance, American Finance Association, vol. 45(3), pages 959-976, July.
    7. Alceu S. Camargo & Abraham S. O. Yu & Paulo Tromboni de S. Nascimento & Jose Vidal Belinetti & José J. Marques & Leandro J. Morilhas, 2011. "Option Value Embedded on the Brazilian Flex and Sustainable Vehicles," International Journal of Social Ecology and Sustainable Development (IJSESD), IGI Global Scientific Publishing, vol. 2(3), pages 18-33, July.
    8. repec:aen:journl:1999v20-02-a01 is not listed on IDEAS
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