Forecasting For Economics And Business
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Time Series Models for Business and Economic Forecasting
Author: Philip Hans Franses
language: en
Publisher: Cambridge University Press
Release Date: 1998-10-15
The econometric analysis of economic and business time series is a major field of research and application. The last few decades have witnessed an increasing interest in both theoretical and empirical developments in constructing time series models and in their important application in forecasting. In Time Series Models for Business and Economic Forecasting, Philip Franses examines recent developments in time series analysis. The early parts of the book focus on the typical features of time series data in business and economics. Part III is concerned with the discussion of some important concepts in time series analysis, the discussion focuses on the techniques which can be readily applied in practice. Parts IV-VIII suggest different modeling methods and model structures. Part IX extends the concepts in chapter three to multivariate time series. Part X examines common aspects across time series.
Forecasting in Business and Economics
Author: Clive William John Granger
language: en
Publisher: New York : Academic Press
Release Date: 1980
This thoroughly revised second edition of an upper-level undergraduate/graduate text describes many major techniques of forecasting used in economics and business. This is the only time series book to concentrate on the forecasting of economic data and to cover such a broad range of topics.Key Features* Gives a complete description, with applications, of the Box-Jenkins single series modeling techniques* Extends the Box-Jenkins techniques to multivariate cases* Compares forecasts from purely statistical and econometric models* Pays careful attention to such problems as how to evaluate and compare forecasts* Covers nonstationary and nonlinear models, co-integration and error-correction models
Forecasting for Economics and Business
For junior/senior undergraduates in a variety of fields such as economics, business administration, applied mathematics and statistics, and for graduate students in quantitative masters programs such as MBA and MA/MS in economics. A student-friendly approach to understanding forecasting. Knowledge of forecasting methods is among the most demanded qualifications for professional economists, and business people working in either the private or public sectors of the economy. The general aim of this textbook is to carefully develop sophisticated professionals, who are able to critically analyze time series data and forecasting reports because they have experienced the merits and shortcomings of forecasting practice.