"Economic and Business Forecasting is an authoritative book on how to characterize, analyze and interpret movements in economic data. This very hands-on text book is a welcome addition to the forecasting literature reflecting the latest developments and tools needed to do state-of-the-art analysis in a very dynamic world. The book will be useful not only to the undergraduate and graduate students of business and economics, but also be appreciated by people who spend their careers practicing in this area."

"John Silvia's work is always clear, concise, and presented in an easy-to-understand format -- that's why I always learn from his writings. If you want to know how Wall Street economists interpret the tea leaves, buy this book! I guarantee it will be a much-referenced guide for anyone from the student of macroeconomics or econometrics to the seasoned Wall Street veteran."

"I highly recommend this new book on Economic and Business Forecasting for advanced undergraduate and graduate students interested in using economic data for business purposes. The book is very clearly and carefully written with practitioners in mind, and it is very accessible without sacrificing substance. One particular strength of the text is the emphasis on doing economic forecasting using SAS, a very commonly used statistical program in industry."

"John Silvia is one of the pre-eminent corporate forecasters. However, although he is a very thoughtful forecaster whose accuracy has been better than most, his major strengths are understanding the context in which he is forecasting, recognizing and acting upon the fact that the conditions underlying forecasts are changing constantly, and embedding his forecasting activity within the context of the firm's risk management. He and the colleagues that he leads at Wells Fargo have been frequent contributors to Business Economics, the professional journal of the National Association for Business Economics, and their contributions are consistently thoughtful and practical, while operating at the cutting edge of application of modern quantitative tools."