Dynamic Factor Models
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Dynamic Factor Models
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Author : Siem Jan Koopman
language : en
Publisher: Emerald Group Publishing
Release Date : 2016-01-08
Dynamic Factor Models written by Siem Jan Koopman and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-08 with Business & Economics categories.
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.
Dynamic Factor Models
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Author : Jörg Breitung
language : en
Publisher:
Release Date : 2005
Dynamic Factor Models written by Jörg Breitung and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
The Oxford Handbook Of Economic Forecasting
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Author : Michael P. Clements
language : en
Publisher: OUP USA
Release Date : 2011-07-08
The Oxford Handbook Of Economic Forecasting written by Michael P. Clements and has been published by OUP USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-08 with Business & Economics categories.
Greater data availability has been coupled with developments in statistical theory and economic theory to allow more elaborate and complicated models to be entertained. These include factor models, DSGE models, restricted vector autoregressions, and non-linear models.
Modern Econometric Analysis
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Author : Olaf Hübler
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-04-29
Modern Econometric Analysis written by Olaf Hübler and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-29 with Business & Economics categories.
In this book leading German econometricians in different fields present survey articles of the most important new methods in econometrics. The book gives an overview of the field and it shows progress made in recent years and remaining problems.
Time Series In High Dimension The General Dynamic Factor Model
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Author : Marc Hallin
language : en
Publisher: World Scientific Publishing Company
Release Date : 2020-03-30
Time Series In High Dimension The General Dynamic Factor Model written by Marc Hallin and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-30 with Business & Economics categories.
Factor models have become the most successful tool in the analysis and forecasting of high-dimensional time series. This monograph provides an extensive account of the so-called General Dynamic Factor Model methods. The topics covered include: asymptotic representation problems, estimation, forecasting, identification of the number of factors, identification of structural shocks, volatility analysis, and applications to macroeconomic and financial data.
Financial And Macroeconomic Connectedness
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Author : Francis X. Diebold
language : en
Publisher: Oxford University Press
Release Date : 2015-02-03
Financial And Macroeconomic Connectedness written by Francis X. Diebold and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-03 with Business & Economics categories.
Connections among different assets, asset classes, portfolios, and the stocks of individual institutions are critical in examining financial markets. Interest in financial markets implies interest in underlying macroeconomic fundamentals. In Financial and Macroeconomic Connectedness, Frank Diebold and Kamil Yilmaz propose a simple framework for defining, measuring, and monitoring connectedness, which is central to finance and macroeconomics. These measures of connectedness are theoretically rigorous yet empirically relevant. The approach to connectedness proposed by the authors is intimately related to the familiar econometric notion of variance decomposition. The full set of variance decompositions from vector auto-regressions produces the core of the 'connectedness table.' The connectedness table makes clear how one can begin with the most disaggregated pair-wise directional connectedness measures and aggregate them in various ways to obtain total connectedness measures. The authors also show that variance decompositions define weighted, directed networks, so that these proposed connectedness measures are intimately related to key measures of connectedness used in the network literature. After describing their methods in the first part of the book, the authors proceed to characterize daily return and volatility connectedness across major asset (stock, bond, foreign exchange and commodity) markets as well as the financial institutions within the U.S. and across countries since late 1990s. These specific measures of volatility connectedness show that stock markets played a critical role in spreading the volatility shocks from the U.S. to other countries. Furthermore, while the return connectedness across stock markets increased gradually over time the volatility connectedness measures were subject to significant jumps during major crisis events. This book examines not only financial connectedness, but also real fundamental connectedness. In particular, the authors show that global business cycle connectedness is economically significant and time-varying, that the U.S. has disproportionately high connectedness to others, and that pairwise country connectedness is inversely related to bilateral trade surpluses.
Simultaneous Statistical Inference
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Author : Thorsten Dickhaus
language : en
Publisher: Springer Science & Business Media
Release Date : 2014-01-23
Simultaneous Statistical Inference written by Thorsten Dickhaus and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-23 with Science categories.
This monograph will provide an in-depth mathematical treatment of modern multiple test procedures controlling the false discovery rate (FDR) and related error measures, particularly addressing applications to fields such as genetics, proteomics, neuroscience and general biology. The book will also include a detailed description how to implement these methods in practice. Moreover new developments focusing on non-standard assumptions are also included, especially multiple tests for discrete data. The book primarily addresses researchers and practitioners but will also be beneficial for graduate students.
Macroeconomic Forecasting In The Era Of Big Data
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Author : Peter Fuleky
language : en
Publisher: Springer Nature
Release Date : 2019-11-28
Macroeconomic Forecasting In The Era Of Big Data written by Peter Fuleky and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-28 with Business & Economics categories.
This book surveys big data tools used in macroeconomic forecasting and addresses related econometric issues, including how to capture dynamic relationships among variables; how to select parsimonious models; how to deal with model uncertainty, instability, non-stationarity, and mixed frequency data; and how to evaluate forecasts, among others. Each chapter is self-contained with references, and provides solid background information, while also reviewing the latest advances in the field. Accordingly, the book offers a valuable resource for researchers, professional forecasters, and students of quantitative economics.
Dynamic Factor Models
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Author : Jörg Breitung
language : en
Publisher:
Release Date : 2016
Dynamic Factor Models written by Jörg Breitung and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Factor models can cope with many variables without running into scarce degrees of freedom.
Forecasting Structural Time Series Models And The Kalman Filter
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Author : Andrew C. Harvey
language : en
Publisher: Cambridge University Press
Release Date : 1990
Forecasting Structural Time Series Models And The Kalman Filter written by Andrew C. Harvey and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Business & Economics categories.
A synthesis of concepts and materials, that ordinarily appear separately in time series and econometrics literature, presents a comprehensive review of theoretical and applied concepts in modeling economic and social time series.