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Testing for Speculative Behavior in US Corn Ethanol Investments
Crude oil price speculation during 2000s could have increased installed capacity in corn ethanol plants beyond what was warranted by the market factors. We use Muth’s commodity pricing model and Flood and Garber’s tests to test for speculative investment in US corn ethanol industry. The ethanol price expectations are derived using a system of supply-demand-inventory describing US ethanol markets under rational expectations (perfect foresight). These price expectations can help differentiate the installed capacity into two: capacity supported by the market fundamentals and the probable capacity that is installed based on speculation. Econometric estimation procedures and functional form approximations are discussed.
- Michigan State University United States
- North Dakota State University United States
- South Dakota State University United States
- North Dakota State University United States
- Michigan State University United States
commodity prices, Agricultural Finance, speculation, investment, ethanol, speculation, commodity prices, investment, Agricultural Finance, Financial Economics, Q14, Q41, D8, L71,, Financial Economics, ethanol
commodity prices, Agricultural Finance, speculation, investment, ethanol, speculation, commodity prices, investment, Agricultural Finance, Financial Economics, Q14, Q41, D8, L71,, Financial Economics, ethanol
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
