2007 U.S CORN PRODUCTION RISKS: WHAT DOES HISTORY TEACH US?

Financial Economics, Production Economics, Risk and Uncertainty,

Understanding USDA Corn and Soybean Production Forecasts: An Overview of Methods, Performance and Market Impacts

Agricultural Finance,

Understanding USDA Corn and Soybean Production Forecasts: Methods, Performance and Market Impacts over 1970 - 2005

The purpose of this report is to improve understanding of USDA crop forecasting methods, performance and market impact. A review of USDA’s forecasting procedures and methodology confirmed the objectivity and consistency of the forecasting process over time. Month-to-month changes in corn and soybean production forecasts from 1970 through 2005 indicated little difference in magnitude and direction of monthly changes over time. USDA production forecast errors were largest in August and smaller in subsequent forecasts. There appeared to be no trend in the size or direction of forecast errors over time. On average, USDA corn production forecasts were more accurate than private market forecasts over 1970-2005, with the exception of August forecasts since the mid-1980s. The forecasting comparisons for soybeans were somewhat sensitive to the measure of forecast accuracy considered. One measure showed that private market forecasts were more accurate than USDA forecasts for August regardless of the time period considered. Another measure showed just the opposite. As the growing season progresses the difference in the results across the two measures of forecast accuracy diminished, with USDA forecast errors in soybeans about equal to or smaller than private market errors. USDA corn production forecasts had the largest impact on corn futures prices in August and recent price reactions have been somewhat larger than historical reactions. Similar to corn, USDA soybean production forecasts had the largest impact on soybean futures prices in August with recent price reactions appearing somewhat larger than in the past. Overall, the analysis suggests that over the long-run the USDA performs reasonably well in generating crop production forecasts for corn and soybeans.Agricultural Finance,

Market Instability in a New Era of Corn, Soybean, and Wheat Prices

grain, price, increase, trend, Demand and Price Analysis, Marketing, Q11, Q13,

DOES THE MARKET ANTICIPATE SMOOTHING IN USDA CROP PRODUCTION FORECASTS?

This study examines whether market participants anticipate the predictable component in USDA revisions of corn and soybean production forecasts during 1970/71 through 2003/04 marketing years. The analysis revealed that markets consistently under-predicted October corn production revisions and over-predicted September soybean production revisions. These biases may be attributable to inefficient use of information about smoothing in USDA revisions. In all other cases market analysts seemed to be aware of USDA smoothing practices and generally efficiently incorporated this information into their own forecasts.Marketing,

The Value of USDA Situation and Outlook Information in Hog and Cattle Markets

This study investigates the impact of six major USDA reports in hog and cattle markets: Cattle; Cattle on Feed; Cold Storage; Hogs and Pigs; Livestock, Dairy, and Poultry Outlook (LDPO); and World Agricultural Supply and Demand Estimates (WASDE). A TARCH-in-mean model, with dummy variables to measure the impact of USDA reports and other external factors, is used to model close-to-open live-lean hog and live cattle futures returns from January 1985 through December 2004. The analysis revealed a statistically significant impact of all but Cattle and Cold Storage reports in live/lean hog futures, and all but Cold Storage reports in live cattle futures. Hogs and Pigs reports had the highest impact on live/lean hog returns by increasing conditional standard deviation 96%. Cattle, Cattle on Feed, and Hogs and Pigs reports had the highest impact on live cattle returns by increasing conditional standard deviation between 26% and 37.5%.cattle, event study, hogs, livestock, public information, TARCH model, USDA reports, Livestock Production/Industries, Marketing,

The Value of USDA Situation and Outlook Information in Hog and Cattle Markets

The economic value of public situation and outlook information has long been a subject of debate. The purpose of this study is to investigate the economic value of USDA reports in hog and cattle markets. The investigation is based on event study analysis, with the "events" consisting of the release of six major USDA situation and outlook reports for hogs and cattle from 1985 through 2003. These include Cattle, Cattle on Feed, Cold Storage, Hogs and Pigs, Livestock, Dairy and Poultry Outlook (LDPO), and World Agricultural Supply and Demand Estimates (WASDE) reports. As a result of the process of modeling volatility of hog and cattle prices, a TARCH-in-mean model was specified that closely followed the distribution of these price movements. The effects of external information were evaluated within this model using dummy variables in the variance equation. The analysis revealed a statistically significant impact of all but Cattle and Cold Storage reports on live/lean hog returns and all but LDPO reports on live cattle returns. Hogs and Pigs reports had the highest impact on live/lean hog returns by increasing average conditional standard deviation by 118.6% following the release of these reports. Cattle and Hogs and Pigs reports had the highest impact on live cattle returns by increasing average conditional standard deviation in both cases 44.8%. These results suggest that the information contained in USDA situation and outlook reports provides economically valuable information to livestock market participants.Livestock Production/Industries, Marketing,

The Performance of Chicago Board of Trade Corn, Soybean, and Wheat Futures Contracts after Recent Changes in Speculative Limits

Three attributes of futures contract behavior important for market performanceliquidity, volatility, and convergenceare investigated before and after the 2005 increase in speculative position limits for corn, soybean, and wheat contracts at the Chicago Board of Trade. The analysis of liquidity and market depth reveals a sharp increase in open interest for corn, soybeans and wheat beginning in late 2005. The increase in position limits likely accommodated the increase in speculative interest in corn, soybean and wheat futures, but some of the increase would have occurred without the increase as new market participants received hedge exemptions. The analysis of price volatility revealed no large change in measures of volatility after the change in speculative limits. For corn and soybeans, the picture that unfolds relative to convergence patterns is one of weakness, but not failure. For wheat, the picture that unfolds relative to convergence patterns is not only one of weakness, but failure to accomplish one of the fundamental tasks of a futures market. The persistence and growing magnitude of the delivery location basis in wheat suggests a problem with the contract specifications.corn, futures contract, performance, soybeans, speculation, wheat, Marketing,

THE PRICING PERFORMANCE OF MARKET ADVISORY SERVICES IN CORN AND SOYBEANS OVER 1995-2000

The purpose of this research report is to evaluate the pricing performance of market advisory services for the 1995-2000 corn and soybean crops. Certain explicit assumptions are made to produce a consistent and comparable set of results across the different advisory programs. These assumptions are intended to accurately depict "real-world" marketing conditions. Several key assumptions are: i) with a few exceptions, the marketing window for a crop year runs from September before harvest through August after harvest, ii) cash prices and yields refer to a central Illinois farm, iii) storage is assumed to occur at on-farm or commercial sites, and iv) marketing loan recommendations made by advisory programs are followed wherever feasible. Based on these assumptions, the net price received by a subscriber to market advisory programs is calculated for the 1995-2000 corn and soybean crops. Market and farmer benchmarks are developed for the performance evaluations. Two market benchmarks are specified in order to test the fragility of performance results to changing benchmark assumptions. The 24-month market benchmark averages market prices for the entire 24-month marketing window. The 20-month market benchmark is computed in a similar fashion, except the first four months of the marketing window are omitted. The farmer benchmark is based upon the USDA average price received series for corn and soybeans in Illinois. The same assumptions applied to advisory program track records are used when computing the market and farmer benchmarks. Four basic indicators of performance are applied to advisory program prices and revenues over 1995-2000. The results provide limited evidence that advisory programs as a group outperform market benchmarks, particularly after considering risk. In contrast, substantial evidence exists that advisory programs as a group outperform the farmer benchmarks, even after taking risk into account. Whether the superior performance of advisory programs versus the farmer benchmark is attributed to luck or skill depends on one's theoretical perspective. Efficient market theory favors a luck interpretation, while behavioral market theory favors a skill interpretation. Regardless of the theoretical perspective, there is little evidence that advisory programs with superior performance can be usefully selected based on past performance.Marketing,

THE PRICING PERFORMANCE OF MARKET ADVISORY SERVICES IN CORN AND SOYBEANS OVER 1995-2001: A NON-TECHNICAL SUMMARY

The purpose of this research report is to summarize the pricing performance of professional market advisory services for the 1995-2001 corn and soybean crops. First, advisory programs in corn do not consistently beat market benchmarks, but they do consistently beat the farmer benchmark. Second, advisory programs in soybeans tend to beat both market and farmer benchmarks. Third, in terms of 50/50 revenue, advisory programs only marginally beat market benchmarks, but consistently beat the farmer benchmark. So, the results provide mixed performance evidence with respect to market benchmarks and consistently positive evidence with respect to the farmer benchmark. Caution should be used when considering the results, due to the relatively small sample of crop years available for analysis. In particular, the presence of sharp downward price trends in most crop years makes it difficult to determine whether the 1995-2001 sample period provides a reliable guide to future differences in pricing performance.Marketing,