Business forecasting methods

Author: Wang Yurong
Publisher:
Publish Date: 2003-05-01
Features: This is a series textbook for the International Business School of the University of International Business and Economics. Business forecasting methods can be divided into qualitative forecasting and quantitative forecasting. This book provides a detailed introduction to quantitative forecasting methods, specifically including: moving average and exponential smoothing methods, trend forecasting methods, factor forecasting methods, and Box-Jenkins forecasting methods. When writing this book, the author emphasizes the following features: comprehensive content, covering both quantitative and qualitative forecasting; including both simpler exponential smoothing methods and more advanced ARIMA methods. It highlights the applicable conditions of each forecasting method and how to choose the appropriate forecasting model when faced with a forecasting target. It emphasizes the application of computers. Building forecasting models requires processing a large amount of data, which must be done with the help of data analysis software. This book provides a detailed introduction to how to apply statistical analysis software SPSS to build each forecasting model. Theoretical connection with practice. While introducing each forecasting method, this book cites numerous real-world examples to help readers better grasp the forecasting methods. The book introduces quantitative forecasting methods, specifically including: moving average and exponential smoothing methods, trend forecasting methods, factor forecasting methods, and Box-Jenkins forecasting methods.