Download or read book Forecasting in Business and Economics written by C. W. J. Granger and published by Academic Press Incorporated. This book was released on 1989-04-28 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes the major techniques of forecasting used in economics and business. This book focuses on the forecasting of economic data and covers a range of topics, including the description of the Box-Jenkins single series modeling techniques; forecasts from purely statistical and econometric models; nonstationary and nonlinear models; and more.
Download or read book Forecasting for Economics and Business written by Gloria González-Rivera and published by Routledge. This book was released on 2016-12-05 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book How business economists forecast ed by b and k written by William F. Butler and published by . This book was released on 1966 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book How Business Economists Forecast written by William F. Butler and published by Englewood Cliffs, N.J. : Prentice-Hall. This book was released on 1966 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Major approaches to business forecasting; Forecasting the GNP; Induatrial and sale forecasting; Financial forecasting; Using and evaluating forecasts.
Download or read book Forecasting Economic Time Series written by C. W. J. Granger and published by Academic Press. This book was released on 2014-05-10 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Economic Theory, Econometrics, and Mathematical Economics, Second Edition: Forecasting Economic Time Series presents the developments in time series analysis and forecasting theory and practice. This book discusses the application of time series procedures in mainstream economic theory and econometric model building. Organized into 10 chapters, this edition begins with an overview of the problem of dealing with time series possessing a deterministic seasonal component. This text then provides a description of time series in terms of models known as the time-domain approach. Other chapters consider an alternative approach, known as spectral or frequency-domain analysis, that often provides useful insights into the properties of a series. This book discusses as well a unified approach to the fitting of linear models to a given time series. The final chapter deals with the main advantage of having a Gaussian series wherein the optimal single series, least-squares forecast will be a linear forecast. This book is a valuable resource for economists.
Download or read book How Business Economists Forecast Edited by William F Butler Robert A Kavesh written by William Frank BUTLER (and KAVESH (Robert Allyn)) and published by . This book was released on 1966 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Business Cycles Indicators and Forecasting written by James H. Stock and published by University of Chicago Press. This book was released on 2008-04-15 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: The inability of forecasters to predict accurately the 1990-1991 recession emphasizes the need for better ways for charting the course of the economy. In this volume, leading economists examine forecasting techniques developed over the past ten years, compare their performance to traditional econometric models, and discuss new methods for forecasting and time series analysis.
Download or read book Economic Forecasting written by Graham Elliott and published by Princeton University Press. This book was released on 2016-04-05 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and integrated approach to economic forecasting problems Economic forecasting involves choosing simple yet robust models to best approximate highly complex and evolving data-generating processes. This poses unique challenges for researchers in a host of practical forecasting situations, from forecasting budget deficits and assessing financial risk to predicting inflation and stock market returns. Economic Forecasting presents a comprehensive, unified approach to assessing the costs and benefits of different methods currently available to forecasters. This text approaches forecasting problems from the perspective of decision theory and estimation, and demonstrates the profound implications of this approach for how we understand variable selection, estimation, and combination methods for forecasting models, and how we evaluate the resulting forecasts. Both Bayesian and non-Bayesian methods are covered in depth, as are a range of cutting-edge techniques for producing point, interval, and density forecasts. The book features detailed presentations and empirical examples of a range of forecasting methods and shows how to generate forecasts in the presence of large-dimensional sets of predictor variables. The authors pay special attention to how estimation error, model uncertainty, and model instability affect forecasting performance. Presents a comprehensive and integrated approach to assessing the strengths and weaknesses of different forecasting methods Approaches forecasting from a decision theoretic and estimation perspective Covers Bayesian modeling, including methods for generating density forecasts Discusses model selection methods as well as forecast combinations Covers a large range of nonlinear prediction models, including regime switching models, threshold autoregressions, and models with time-varying volatility Features numerous empirical examples Examines the latest advances in forecast evaluation Essential for practitioners and students alike
Download or read book How business economists forecast ed written by William F. Butler and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Forecasting written by David Hendry and published by Yale University Press. This book was released on 2019-06-11 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Concise, engaging, and highly intuitive—this accessible guide equips you with an understanding of all the basic principles of forecasting Making accurate predictions about the economy has always been difficult, as F. A. Hayek noted when accepting his Nobel Prize in economics, but today forecasters have to contend with increasing complexity and unpredictable feedback loops. In this accessible and engaging guide, David Hendry, Michael Clements, and Jennifer Castle provide a concise and highly intuitive overview of the process and problems of forecasting. They explain forecasting concepts including how to evaluate forecasts, how to respond to forecast failures, and the challenges of forecasting accurately in a rapidly changing world. Topics covered include: What is a forecast? How are forecasts judged? And how can forecast failure be avoided? Concepts are illustrated using real-world examples including financial crises, the uncertainty of Brexit, and the Federal Reserve’s record on forecasting. This is an ideal introduction for university students studying forecasting, practitioners new to the field and for general readers interested in how economists forecast.
Download or read book Forecasting in Business and Economics written by C. W. J. Granger and published by Academic Press. This book was released on 2014-05-10 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting in Business and Economics presents a variety of forecasting techniques and problems. This book discusses the importance of the selection of a relevant information set. Organized into 12 chapters, this book begins with an overview of the forecasting techniques that are useful in decision making. This text then discusses the difficulties in interpreting an apparent trend and discusses its implications. Other chapters consider how a time series is analyzed and forecast by discussing the methods by which a series can be generated. This book discusses as well the views of most academic time series analysts regarding the usefulness of searches for cycles in most economic and business series. The final chapter deals with the techniques developed for forecasting. This book is a valuable resource for senior undergraduates in business, economics, commerce, and management. Graduate students in operations research and production engineering will also find this book extremely useful.
Download or read book Beating the Business Cycle written by Lakshman Achuthan and published by Crown Currency. This book was released on 2004-05-18 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can you make wise decisions about your company and your personal future when you have no idea where the economy is headed? The answer is, you can’t. But you can learn how to accurately predict turns in the economy so that you can see the road ahead. And BEATING THE BUSINESS CYCLE shows you how. In BEATING THE BUSINESS CYCLE, Lakshman Achuthan and Anirvan Banerji, the directors of the renowned Economic Cycle Research Institute (ECRI) show how anyone can predict and profit from the inevitable booms and busts of the economy. Why should we believe them? Because while so many economists and financial gurus have failed to predict recessions in the past, ECRI’s forecasts are known for being uncannily accurate. The institute successfully predicted the U.S. recession of 2001 many months before the economists did; the 1990 recession and later recovery; and most recently, the weak U.S. recovery in 2002. ECRI is in constant demand by corporate America and the media. It is the “secret weapon” of companies from Disney to DuPont, the major fund managers, and many central banks. BEATING THE BUSINESS CYCLE is the first book to reveal how decision makers at all levels–managers, small business owners, and individuals–can see into the economy’s future when making key decisions. Should a large company search out new clients and build new factories or stores, or should it consider cost cutting and layoffs? Is it the right time for you to splurge on that luxury vacation or addition to your house, or would it be more prudent to cut back on big expenditures and save money for a rainy day? Written in an easy-to-understand, accessible style, BEATING THE BUSINESS CYCLE reveals which of the hundreds of economic indicators to trust and which ones to trash. It will give you the tools and confidence you need to make the right decisions at the right times–even when the rest of the investing and business world would persuade you otherwise. Whether you are a corporate manager or the owner of a small business, whether you have your money invested in stocks or in your home, BEATING THE BUSINESS CYCLE will give you the edge you need to trump the competition and stay ahead of the crowd.
Download or read book Business Cycles written by Victor Zarnowitz and published by University of Chicago Press. This book was released on 2007-11-01 with total page 613 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the most complete collection available of the work of Victor Zarnowitz, a leader in the study of business cycles, growth, inflation, and forecasting.. With characteristic insight, Zarnowitz examines theories of the business cycle, including Keynesian and monetary theories and more recent rational expectation and real business cycle theories. He also measures trends and cycles in economic activity; evaluates the performance of leading indicators and their composite measures; surveys forecasting tools and performance of business and academic economists; discusses historical changes in the nature and sources of business cycles; and analyzes how successfully forecasting firms and economists predict such key economic variables as interest rates and inflation.
Download or read book Forecasting for Economics and Business written by Gloria Gonzalez-Rivera and published by Pearson Higher Ed. This book was released on 2012-05-31 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. A reader-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. Important Notice: The digital edition of this book is missing some of the images found in the physical edition.
Download or read book Time Series Models for Business and Economic Forecasting written by Philip Hans Franses and published by Cambridge University Press. This book was released on 2014-04-24 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: With a new author team contributing decades of practical experience, this fully updated and thoroughly classroom-tested second edition textbook prepares students and practitioners to create effective forecasting models and master the techniques of time series analysis. Taking a practical and example-driven approach, this textbook summarises the most critical decisions, techniques and steps involved in creating forecasting models for business and economics. Students are led through the process with an entirely new set of carefully developed theoretical and practical exercises. Chapters examine the key features of economic time series, univariate time series analysis, trends, seasonality, aberrant observations, conditional heteroskedasticity and ARCH models, non-linearity and multivariate time series, making this a complete practical guide. Downloadable datasets are available online.
Download or read book How Business Economists Forecasts written by William Butler and published by . This book was released on 1966 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Leading Economic Indicators written by Kajal Lahiri and published by Cambridge University Press. This book was released on 1991 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developed fifty years ago by the National Bureau of Economic Research, the analytic methods of business cycles and economic indicators enable economists to forecast economic trends by examining the repetitive sequences that occur in business cycles. The methodology has proven to be an inexpensive and useful tool that is now used extensively throughout the world. In recent years, however, significant new developments have emerged in the field of business cycles and economic indicators. This volume contains twenty-two articles by international experts who are working with new and innovative approaches to indicator research. They cover advances in three broad areas of research: the use of new developments in economic theory and time-series analysis to rationalise existing systems of indicators; more appropriate methods to evaluate the forecasting records of leading indicators, particularly of turning point probability; and the development of new indicators.
