Errata: The original version of this article incorrectly state the January 2018 soybean yield estimate at 50.6 BPA, instead of the true February (which made up for the delayed January report) estimate of 51.6 BPA. All statistics related to this yield estimate and charts/tables have been corrected below. USDA surprised the commodity markets on Friday with bullish adjustments to the U.S. corn and soybean balance sheets, particularly the unexpected reductions in yields for both commodities. The surprise created by the latest balance sheet makes it worthwhile to evaluate the USDA’s adjusted estimates relative to historical patterns. For this analysis, WPI uses the USDA’s yield, harvested acreage, and production forecasts as published in th...
Communicating importance of value-added products
Facing increasing pressure to quantify the value of export promotion efforts to investors, a U.S. industry organization retained WPI to develop a quantitative model that better communicated the importance of exports. The resulting model concluded that value-added meat exports contributed $0.45 cents per bushel to the price of corn, increasing support for that sector’s financial support of WPI’s client. In addition to serving the red meat industry with this type of analysis, WPI has generated similar deliverables for the U.S. soybean and poultry/egg industries.
Macro: Treasury Squeezes Yields, the Dollar Gives Way Today’s markets are offering a lesson in pressure: it rarely disappears — it simply moves. The U.S. Treasury stepped into the bond market after long-term yields surged to levels not seen in nearly two decades. By announcing plans...
Key Takeaways: Weather conditions in Europe have continued to deteriorate following both the EU MARS’ latest balance sheet update and the August WASDE, leaving “official” estimates lagging behind the reality observed on the ground. WPI’s models anticipate a 4 perc...
Key Takeaways: With cattle supplies historically tight and packer margins deeply negative, beef processors are reducing excess slaughter capacity, with decisions over which plants to close driven by cattle availability, operating efficiency, and the ability to maintain high utilization rates...