Evaluating the Dynamic Nature of Market Risk
This study examines the systematic risk present in major crops for the United States and three corn-belt states. An index of commodities is used in conjunction with cash receipts to generate dynamic estimates of the systematic risk for each crop and state. In our study, we find that beta estimates from a time varying parameter model (FLS) and OLS formulation are substantially different. From our graphs of betas over time, one gains insight into the changing nature of risk and the impact of institutional and macroeconomic events. Systematic risk is shown to increase for most crops over the analyzed period with significant changes in volatility after the collapse of the Bretton Woods Accord.
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- James D. Hamilton, 2009. "The Causes and Consequences of Rising Food Prices: Discussion," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(5), pages 1257-1258.
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- Kuethe, Todd H. & Foster, Kenneth A. & Florax, Raymond J.G.M., 2008. "A Spatial Hedonic Model with Time-Varying Parameters: A New Method Using Flexible Least Squares," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6306, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Daniel A. Sumner, 2009. "Recent Commodity Price Movements in Historical Perspective," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(5), pages 1250-1256.
- Brinker, Adam J. & Parcell, Joseph L. & Dhuyvetter, Kevin C., 2007. "Cross-Hedging Distillers Dried Grains: Exploring Corn and Soybean Meal Futures Contracts," 2007 Conference, April 16-17, 2007, Chicago, Illinois 37567, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
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