Economic forecast

Author: Debo
Publisher:
Publish Date: 2005-03-01
Features: Prediction is important—prediction has broad applications in business, finance, economics, government, and many other fields. Everything has two sides, and prediction also has good and bad aspects. Of course, this book introduces good prediction methods, namely the use of modern, quantitative, statistical (or econometric) methods for prediction, and the evaluation of prediction results. It is suitable for students in many fields, including business, finance, economics, public policy, statistics, and even engineering. Students with undergraduate and master's level education only need to review statistical courses including linear regression to directly enter the study of this book. Economic Forecasting concisely introduces the progress of forecasting techniques since Box and Jenkins from a modern perspective, covering trends, seasonality, cycles, random trends, vector autoregression, cointegration, selection criteria and evaluation of forecasting models, as well as traditional and modern forecasting techniques such as combination forecasting. This book is application-oriented, providing numerous forecasting examples in business, finance, and economics, making it a standard textbook and reference book in the field of econometrics and forecasting research. Prediction serves decision-making. To give you an intuitive understanding of prediction, we first briefly describe the application areas of prediction and explain how it serves decision-making.