Forecasting the Yield and the Price of Cotton

Predict how data shapes the cotton market, from government reports to daily prices. This book explains how statistics, probability, and weather observations are used to forecast crop yields and cotton prices, turning big data into practical market insight. In Forecasting the Yield and the Price of Cotton, Henry L. Moore shows why accurate information matters for farmers, traders, and policy alike.

The text traces the way official crop reports and weather data interact with market moves, and it discusses the limits of forecasts based on different reports. It blends economic theory with real-world testing of forecasts, demonstrating how correlations and methods of analysis illuminate the forces that drive supply, demand, and price. The work also explores how a modern statistical approach can complement traditional agricultural statistics and help readers understand the economics behind the numbers.

• See how official data and weather reports influence futures and prices.
• Learn about correlations between acreage, yield, and price and how they are measured.
• Understand the reliability and limits of different crop forecasts over time.
• Explore the idea of combining statistical methods with economic theory to improve prediction.

Ideal for readers interested in economic statistics, market history, and the practical use of data in agricultural forecasting.