Price volatility in ethanol markets
AbstractOur paper looks at how price volatility in the Brazilian ethanol industry changes over time and across markets. Demand and supply forces in the energy and food markets are likely to ensure that crude oil, ethanol and feedstock prices co-move in the long-run. Hence, when assessing price volatility changes and spillovers in the ethanol industry, one should also pay attention to the notion of cointegration. Until recently, the methods proposed to estimate cointegration relationships, have not explicitly considered time varying volatility in the data. Seo (2007) suggests an estimator of the cointegration vector that explicitly models conditional heteroskedasticity. More specifically, he proposes a maximum likelihood estimator that estimates the error correction model and the multivariate GARCH process jointly. We follow this proposal.
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Bibliographic InfoPaper provided by International Association of Agricultural Economists in its series 2009 Conference, August 16-22, 2009, Beijing, China with number 49940.
Date of creation: 2009
Date of revision:
volatility; ethanol; cointegration; Demand and Price Analysis; Research Methods/ Statistical Methods; Q11; C32;
Other versions of this item:
- Serra, Teresa & Zilberman, David, 2009. "Price volatility in ethanol markets," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49188, Agricultural and Applied Economics Association.
- Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
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