乙醇工业中的均衡和实物期权:建模和经验证据

IF 3.7 4区 经济学 Q1 BUSINESS, FINANCE
Matt Davison , Nicolas Merener
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引用次数: 0

摘要

在过去的二十年里,大量的乙醇公司在美国建立了业务。从玉米中提取的乙醇与纯汽油混合制成燃料。生产商拥有关闭无利可图工厂的选择权。混合燃料商在政府规定的范围内或超出规定的范围内选择用乙醇替代汽油。我们提出了一个混合者和生产者的均衡模型,该模型考虑了政府措施和行业中嵌入的实际可选性。在玉米和汽油价格的驱动下,该模型得出了乙醇价格和产量的分析表达式,以及对授权和混合信贷影响的政策含义。该模型还导致了乙醇生产商的封闭形式估值。使用2000年至2017年的数据,我们证实,与模型中一样,乙醇在很大程度上被定价为重新调整后的汽油和玉米价格的最大值。我们的理论解释了任务和装机容量之间的历史产出水平。最后,美国最大的公共乙醇生产商的股价动态在某些方面与实物期权的价值是一致的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Equilibrium and real options in the ethanol industry: Modeling and empirical evidence

In the last twenty years a large number of ethanol firms have established operations in the US. Ethanol, produced from corn, is blended with pure gasoline to produce fuel. Producers hold an option to turn off unprofitable plants. Blenders choose to substitute ethanol for gasoline at or beyond the mandate set by the government. We propose an equilibrium model for blenders and producers that accounts for government measures and for real optionality embedded in the industry. The model, driven by corn and gasoline prices, leads to analytical expressions for the price and output of ethanol, and to policy implications on the impacts of the mandate and blend credit. The model also leads to closed form valuation for an ethanol producer. Using data between 2000 and 2017 we confirm that, as in the model, ethanol was largely priced as the maximum of rescaled gasoline and corn prices. Historical output levels between the mandate and installed capacity were explained by our theory. Finally, the share price dynamics for the largest public ethanol producer in the US was consistent in some aspects with the value of a real option.

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来源期刊
CiteScore
5.70
自引率
2.40%
发文量
53
期刊介绍: The purpose of the journal is also to stimulate international dialog among academics, industry participants, traders, investors, and policymakers with mutual interests in commodity markets. The mandate for the journal is to present ongoing work within commodity economics and finance. Topics can be related to financialization of commodity markets; pricing, hedging, and risk analysis of commodity derivatives; risk premia in commodity markets; real option analysis for commodity project investment and production; portfolio allocation including commodities; forecasting in commodity markets; corporate finance for commodity-exposed corporations; econometric/statistical analysis of commodity markets; organization of commodity markets; regulation of commodity markets; local and global commodity trading; and commodity supply chains. Commodity markets in this context are energy markets (including renewables), metal markets, mineral markets, agricultural markets, livestock and fish markets, markets for weather derivatives, emission markets, shipping markets, water, and related markets. This interdisciplinary and trans-disciplinary journal will cover all commodity markets and is thus relevant for a broad audience. Commodity markets are not only of academic interest but also highly relevant for many practitioners, including asset managers, industrial managers, investment bankers, risk managers, and also policymakers in governments, central banks, and supranational institutions.
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