1 / 16

30 Years of Guessing: Why Forecasts Have Not Improved

30 Years of Guessing: Why Forecasts Have Not Improved. Terry Townsend CottonAnalytics.com Cotton & Fibers Luncheon USDA Outlook Forum February 21, 2014. ICAC FORECASTS OF WORLD COTTON PRODUCTION. Percent Error, January-to-Actual. ICAC FORECASTS OF WORLD COTTON CONSUMPTION.

akiko
Télécharger la présentation

30 Years of Guessing: Why Forecasts Have Not Improved

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. 30 Years of Guessing: Why Forecasts Have Not Improved Terry Townsend CottonAnalytics.com Cotton & Fibers Luncheon USDA Outlook Forum February 21, 2014

  2. ICAC FORECASTS OFWORLD COTTON PRODUCTION Percent Error, January-to-Actual

  3. ICAC FORECASTS OFWORLD COTTON CONSUMPTION Percent Error, January-to-Actual

  4. Cotlook A Index Volatility Difference with respect to season average Season highest value Season lowest value

  5. 30 YEARS AGO: No Internet or E-mail Phone calls expensive Weather reporting local Information Exchange

  6. TODAY: Weather as it happens Weekly releases Harvest ends Pace of arrivals Overnight policy announcements Computers/phones/Skype &c. Regression on your desktop

  7. Why Not? Social Science Year-to-Year Variance is Greater Shocks Happen Data are less accurate

  8. Why Not? Social Science Forecasting behavior of millions

  9. 2. Year-to-Year Variance is Greater:WORLD COTTONPRODUCTION Million tons

  10. 3. SHOCKS HAPPEN 2008 Recession Indian Export Ban China Reserve Policy Kiev Rioting a priori assumptions

  11. 4. Data are less accurateWorld Cotton Production2012/13 1% 15% 6% 4% 27% 32% 4% 6% 4%

  12. 4. Data are less accurateWorld Cotton Mill Use 2012/13 2% 1% 36 % 7% 5% 42% 1% 5%

  13. DATA DIFFICULTIES Atomized industries Taxes & Regulation Bias against farming/farmers/textiles

  14. DATA DIFFICULTIES “The government [is] extremely fond of amassing great quantities of statistics. These are raised to the nth degree, the cube roots are extracted, and the results are arranged into elaborate and impressive displays. What must be kept ever in mind, however, is that in every case, the figures are first put down by a village watchman, and he puts down anything he damn well pleases.” Josiah Stamp, Collector of Inland Revenue for the Government of the United Kingdom in the 1920’s

  15. TRANSPARENCY IS THE FUTURE Bali WTO Ministerial Farmer Education Supply Management Protectionism Buffer Stocks/Export & Import Controls Demand Enhancement Transparency and Trade Facilitation G 20 Declaration 2008 Food Shocks Changed Perception of Commodities

  16. Forecasts Have & Will Improve Technology has offset the Increased Degree of Difficulty Data will Improve

More Related