2009
DOI: 10.1007/s10479-009-0514-7
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Valuing the switching flexibility of the ethanol-gas flex fuel car

Abstract: Renewable energy sources are becoming more important as the world's supply of fossil fuels decrease and also due to environmental concerns. Since 2003, when the ethanolgasoline flex fuel car became commercially available in Brazil, the growth of this market has been significant, to the point where currently more than 50% of the fuel consumption of cars in Brazil is from renewable biofuels (ethanol). This has been made possible due to the success of the flex fuel car, which can run on ethanol, gasoline, or any … Show more

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Cited by 56 publications
(24 citation statements)
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“…The results in this paper differ somewhat from those presented in Bastian-Pinto et al [2]. They also found a higher option value with GBM than with MRM, although the total fuel cost was higher with MRM simulation.…”
Section: Discussioncontrasting
confidence: 99%
See 3 more Smart Citations
“…The results in this paper differ somewhat from those presented in Bastian-Pinto et al [2]. They also found a higher option value with GBM than with MRM, although the total fuel cost was higher with MRM simulation.…”
Section: Discussioncontrasting
confidence: 99%
“…In section 4 we perform the analysis of the switching option based on the time series properties of ethanol and gasoline prices. The approach we use follows closely the analysis by Bastian-Pinto et al [2]. Our findings indicate a considerable value of fuel choice flexibility, ranging between 7,500 and 37,800 SEK, depending on the underlying stochastic process we assume that fuel prices follow.…”
Section: Introductionmentioning
confidence: 57%
See 2 more Smart Citations
“…They use a bivariate binomial discrete model for both stochastic prices and show that GBM models tend to overestimate the switch option value when modeling commodity prices. Bastian-Pinto et al (2010) analyze the switch option available to flex fuel car owners, who can choose between the use of ethanol or gasoline as auto fuel for their vehicles. The authors use both GBM and MRM models and find that this flexibility has a significant value with either one.…”
Section: Introductionmentioning
confidence: 99%