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Author: Máximo Camacho
Publisher:
ISBN:
Category : Business cycles
Languages : en
Pages : 0
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Book Description
We propose a model to compute short-term forecasts of the Euro area GDP growth in real-time. To allow for forecast evaluation, we construct a real-time data set that changes for each vintage date and includes the exact information that was available at the time of each forecast. In this context, we provide examples that show how data revisions and data availability affect point forecasts and forecast uncertainty. [Resumen de autor]
Author: Máximo Camacho
Publisher:
ISBN:
Category : Business cycles
Languages : en
Pages : 0
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Book Description
We propose a model to compute short-term forecasts of the Euro area GDP growth in real-time. To allow for forecast evaluation, we construct a real-time data set that changes for each vintage date and includes the exact information that was available at the time of each forecast. In this context, we provide examples that show how data revisions and data availability affect point forecasts and forecast uncertainty. [Resumen de autor]
Author: Maximo Camacho
Publisher:
ISBN:
Category :
Languages : en
Pages : 48
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 46
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Book Description
Author: Ralf Brüggemann
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110510847
Category : Business & Economics
Languages : en
Pages : 176
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Book Description
Forecasts guide decisions in all areas of economics and finance. Economic policy makers base their decisions on business cycle forecasts, investment decisions of firms are based on demand forecasts, and portfolio managers try to outperform the market based on financial market forecasts. Forecasts extract relevant information from the past and help to reduce the inherent uncertainty of the future. The topic of this special issue of the Journal of Economics and Statistics is the theory and practise of forecasting and forecast evaluation and an overview of the state of the art of forecasting.
Author: Mr.Troy Matheson
Publisher: International Monetary Fund
ISBN: 1455218995
Category : Business & Economics
Languages : en
Pages : 24
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Book Description
We develop monthly indicators for tracking growth in 32 advanced and emerging-market economies. We test the historical performance of our indicators and find that they do a good job at describing the business cycle. In a recursive out-of-sample forecasting exercise, we find that the indicators generally produce good GDP growth forecasts relative to a range of time series models.
Author: Siem Jan Koopman
Publisher: Oxford University Press
ISBN: 0191506575
Category : Business & Economics
Languages : en
Pages : 389
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Book Description
This volume presents original and up-to-date studies in unobserved components (UC) time series models from both theoretical and methodological perspectives. It also presents empirical studies where the UC time series methodology is adopted. Drawing on the intellectual influence of Andrew Harvey, the work covers three main topics: the theory and methodology for unobserved components time series models; applications of unobserved components time series models; and time series econometrics and estimation and testing. These types of time series models have seen wide application in economics, statistics, finance, climate change, engineering, biostatistics, and sports statistics. The volume effectively provides a key review into relevant research directions for UC time series econometrics and will be of interest to econometricians, time series statisticians, and practitioners (government, central banks, business) in time series analysis and forecasting, as well to researchers and graduate students in statistics, econometrics, and engineering.
Author: Siem Jan Koopman
Publisher: Emerald Group Publishing
ISBN: 1785603523
Category : Business & Economics
Languages : en
Pages : 685
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Book Description
This volume explores dynamic factor model specification, asymptotic and finite-sample behavior of parameter estimators, identification, frequentist and Bayesian estimation of the corresponding state space models, and applications.
Author: Michael P. Clements
Publisher: Oxford University Press
ISBN: 0199875510
Category : Business & Economics
Languages : en
Pages : 732
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Book Description
This Handbook provides up-to-date coverage of both new and well-established fields in the sphere of economic forecasting. The chapters are written by world experts in their respective fields, and provide authoritative yet accessible accounts of the key concepts, subject matter, and techniques in a number of diverse but related areas. It covers the ways in which the availability of ever more plentiful data and computational power have been used in forecasting, in terms of the frequency of observations, the number of variables, and the use of multiple data vintages. Greater data availability has been coupled with developments in statistical theory and economic analysis to allow more elaborate and complicated models to be entertained; the volume provides explanations and critiques of these developments. These include factor models, DSGE models, restricted vector autoregressions, and non-linear models, as well as models for handling data observed at mixed frequencies, high-frequency data, multiple data vintages, methods for forecasting when there are structural breaks, and how breaks might be forecast. Also covered are areas which are less commonly associated with economic forecasting, such as climate change, health economics, long-horizon growth forecasting, and political elections. Econometric forecasting has important contributions to make in these areas along with how their developments inform the mainstream.
Author: Jun Ma
Publisher: Springer Science & Business Media
ISBN: 1461480604
Category : Business & Economics
Languages : en
Pages : 308
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Book Description
Nonlinear models have been used extensively in the areas of economics and finance. Recent literature on the topic has shown that a large number of series exhibit nonlinear dynamics as opposed to the alternative--linear dynamics. Incorporating these concepts involves deriving and estimating nonlinear time series models, and these have typically taken the form of Threshold Autoregression (TAR) models, Exponential Smooth Transition (ESTAR) models, and Markov Switching (MS) models, among several others. This edited volume provides a timely overview of nonlinear estimation techniques, offering new methods and insights into nonlinear time series analysis. It features cutting-edge research from leading academics in economics, finance, and business management, and will focus on such topics as Zero-Information-Limit-Conditions, using Markov Switching Models to analyze economics series, and how best to distinguish between competing nonlinear models. Principles and techniques in this book will appeal to econometricians, finance professors teaching quantitative finance, researchers, and graduate students interested in learning how to apply advances in nonlinear time series modeling to solve complex problems in economics and finance.
Author: Giorgio Gomel
Publisher: Springer Science & Business Media
ISBN: 3642286380
Category : Business & Economics
Languages : en
Pages : 284
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Book Description
This book takes readers on a unique journey across some of the most debated implications of the rise of the Chinese economy on the global scene. From the analysis, suggestions emerge on how to improve statistical tools to measure performance and to obtain more precise macroeconomic forecasts. Moreover, it confirms the suspicion that a governance model of firms that does not sufficiently encourage market competition may have significant costs in terms of efficiency for the Chinese production system. The analysis of demographic factors and of household savings gives further support to calls for a serious reform effort, particularly of the pension and health care systems, to utilize households’ savings more efficiently and equitably. Finally the analyses of Chinese and global trade underscore the need for a less superficial consideration of the implications of the Chinese presence in global markets.
