12,835 research outputs found
Stereoscopic computer graphics display system
Handbook was published on study which describes relative merits of two general-purpose, steroscopic display systems. Both systems are adaptable to most small data processing facilities and, with minimal hardware development, greatly enhance user ability to interact with computer and to interpret data output. Section also describes digital-to-analog converters designed for use with system
The Antebellum U.S. Iron Industry: Domestic Production and Foreign Competition
This paper presents new annual estimates of U.S. production of pig iron and imports of pig iron products dating back to 1827. These estimates are used to assess the vulnerability of the antebellum iron industry to foreign competition and the role of the tariff in fostering the industry's early development. Domestic pig iron production is found to be highly sensitive to changes in import prices. Although import price fluctuations had a much greater impact on U.S. production than changes in import duties, our estimates suggest that the tariff permitted domestic output to be about thirty to forty percent larger than it would have been without protection.
Are Corn and Soybean Options Too Expensive?
A growing body of recent evidence suggests that premiums for financial options might be too high. For agricultural options, market participants often make similar claims, however there is very limited scientific literature to prove or disprove such claims. This research investigates the efficiency of corn and soybean options markets by directly computing trading returns. Time effects on market efficiency are also investigated. When the sample period is considered as a whole, risk adjusted returns indicate that no profits can be made by taking either side of the corn or soybean options markets. However, when time effects are analyzed, corn calls appear to have provided excess returns during the 1998--2005 period. This result do not appear to be driven by movements in the underlying futures, since similar differences were not found for corn puts. Based on the evidence presented here, corn puts and soybean options would constitute fairly-well priced insurance tools. Further research should investigate the causes of corn call returns.corn, soybeans, options markets, mispricing, trading returns, market efficiency, Crop Production/Industries, Marketing,
Coping with Shocks and Shifts: The Multilateral Trading System in Historical Perspective
This paper provides a historical look at how the multilateral trading system has coped with the challenge of shocks and shifts. By shocks we mean sudden jolts to the world economy in the form of financial crises and deep recessions, or wars and political conflicts. By shifts we mean slow-moving, long-term changes in comparative advantage or shifts in the geopolitical equilibrium that force economies to undergo disruptive and potentially painful adjustments. We conclude that most shocks (financial crises and regional wars) have had relatively little effect on trade policy, but that shifts pose a greater challenge to the system of open, multilateral trade.
Has the Performance of the Hog Options Market Changed?
The hog option contract has served as a risk management tool for the pork industry for more than 20 years. However, very limited information exists about how this market behaves and how it was affected by the contract redesign of 1996. This paper evaluates the efficiency of hog options markets comparing its pricing function during the live hog contract period to the lean hog contract period. Trading returns are computed and adjusted for risk using the Sharpe ratio and the Capital Asset Pricing Model. When the whole sample period is analyzed, results indicate that no profits can be made by taking either side of the hog options markets. However, analyzing the live and the lean hog contracts separately, some evidence suggest that opportunities for speculative profits existed during the live hog contract period. These conclusions are not driven by the extreme price movements in the futures price occurred during late 1998. Further research should investigate whether general futures price movements are responsible for these large returns.Marketing,
Understanding USDA Corn and Soybean Production Forecasts: An Overview of Methods, Performance and Market Impacts
Agricultural Finance,
2007 U.S CORN PRODUCTION RISKS: WHAT DOES HISTORY TEACH US?
Financial Economics, Production Economics, Risk and Uncertainty,
A Reality Check on Technical Trading Rule Profits in US Futures Markets
This paper investigates the profitability of technical trading rules in US futures markets over the 1985-2004 period. To account for data snooping biases, we evaluate statistical significance of performance across technical trading rules using White's Bootstrap Reality Check test and Hansen's Superior Predictive Ability test. These methods directly quantify the effect of data snooping by testing the performance of the best rule in the context of the full universe of technical trading rules. Results show that the best rules generate statistically significant economic profits only for two of 17 futures contracts traded in the US. This evidence indicates that technical trading rules generally have not been profitable in US futures markets after correcting for data snooping biases.Marketing,
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,
IMPROVING THE RELEVANCE OF RESEARCH ON PRICE FORECASTING AND MARKETING STRATEGIES
Agricultural economists' research on price forecasting and marketing strategies has been used little by those in the real world. We argue that fresh approaches to research are needed. First, we argue that we need to adopt a new theoretical paradigm, noisy rational expectations. This paradigm suggests that gains from using price forecasting models with public data or from using a marketing strategy are not impossible, but any gains are likely to be small. We need to conduct falsification tests; to perform confirmation and replication; to adjust research to reflect structural changes, such as increased contracting; and always to conduct statistical tests. We also provide a modest agenda for changing our research and extension programs.Demand and Price Analysis, Marketing,
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