Dynamic Factor Models
Published on 8. January 2016
Book
Hardback
688 pages
978-1-78560-353-2 (ISBN)
Description
Dynamic factor models (DFM) constitute an active and growing area of research, both in econometrics, in macroeconomics, and in finance. Many applications lie at the center of policy questions raised by the recent financial crises, such as the connections between yields on government debt, credit risk, inflation, and economic growth. This volume collects a key selection of up-to-date contributions that cover a wide range of issues in the context of dynamic factor modeling, such as specification, estimation, and application of DFMs. Examples include further developments in DFM for mixed-frequency data settings, extensions to time-varying parameters and structural breaks, for multi-level factors associated with subsets of variables, in factor augmented error correction models, and in many other related aspects. A number of contributions propose new estimation procedures for DFM, such as spectral expectation-maximization algorithms and Bayesian approaches. Numerous applications are discussed, including the dating of business cycles, implied volatility surfaces, professional forecaster survey data, and many more.
Reviews / Votes
Editors Hillebrand and Koopman present students, academics, researchers, and professionals working in a wide variety of contexts with a collection of academic and expert contributions on the use of dynamic factor models (DFM) in the study of econometrics, macroeconomics, and finance. The editors have organized the contributions that make up the main body of their text in four parts devoted to methodology, factor structure and specification, instability, and nowcasting and forecasting. Eric Hillebrand is a faculty member of Aarhus University, Denmark. Siem Jan Koopman is a faculty member of VU University, The Netherlands. -- Annotation (c)2016 * (protoview.com) *More details
Series
Language
English
Place of publication
Bingley
United Kingdom
Publishing group
Emerald Publishing Limited
Target group
Professional and scholarly
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 41 mm
Weight
1128 gr
ISBN-13
978-1-78560-353-2 (9781785603532)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Siem Jan Koopman | Eric Hillebrand
Dynamic Factor Models
E-Book
01/2016
Emerald Publishing Limited
€127.99
Available for download
Persons
Edited by Eric Hillebrand, Department of Economics and Business Economics and CREATES, Aarhus University, Aarhus, Denmark
Siem Jan Koopman, Department of Econometrics, Vrije Universiteit Amsterdam, The Netherlands, Tinbergen Institute and CREATES
Siem Jan Koopman, Department of Econometrics, Vrije Universiteit Amsterdam, The Netherlands, Tinbergen Institute and CREATES
Content
PART I: METHODOLOGY
An Overview of the Factor-Augmented Error-Correction Model - Anindya Banerjee, Massimiliano Marcellino and Igor Masten
Estimation of VAR Systems from Mixed-Frequency Data: the Stock and the Flow Case - Lukas Koelbl, Alexander Braumann, Elisabeth Felsenstein and Manfred Deistler
Modelling Yields at the Zero Lower Bound: Are Shadow Rates the Solution? - Jens H. E. Christensen and Glenn D. Rudebusch
Dynamic Factor Models for the Volatility Surface - Michel Van Der Wel, Sait R. Ozturk and Dick Van Dijk
PART II: FACTOR STRUCTURE AND SPECIFICATION
Analyzing International Business and Financial Cycles Using Multi-Level Factor Models: a Comparison of Alternative Approaches - Jorg Breitung and Sandra Eickmeier
Fast ML Estimation of Dynamic Bifactor Models: an Application to European Inflation - Gabriele Fiorentini, Alessandro Galesi and Enrique Sentana
Country Shocks, Monetary Policy Expectations and ECB Decisions. a Dynamic Non-Linear Approach - Maximo Camacho, Danilo Leiva-Leon and Gabriel Perez-Quiros
Modelling Financial Markets Comovements During Crises: a Dynamic Multi-Factor Approach - Martin Belvisi, Riccardo Pianeti and Giovanni Urga
Specification and Estimation of Bayesian Dynamic Factor Models: a Monte Carlo Analysis with an Application to Global House Price Comovement - Laura E. Jackson, M. Ayhan Kose, Christopher Otrok and Michael T. Owyang
Small-versus Big-Data Factor Extraction In Dynamic Factor Models: an Empirical Assessment - Pilar Poncela and Esther Ruiz
PART III: INSTABILITY
Regularized Estimation of Structural Instability In Factor Models: the US Macroeconomy and the Great Moderation - Laurent Callot and Johannes Tang Kristensen
Dating Business Cycle Turning Points for the French Economy: an MS-DFM Approach - Catherine Doz and Anna Petronevich
Common Faith or Parting Ways? a Time Varying Parameters Factor Analysis of Euro-Area Inflation - Davide Delle Monache, Ivan Petrella and Fabrizio Venditti
PART IV: NOWCASTING AND FORECASTING
Nowcasting Business Cycles: a Bayesian Approach to Dynamic Heterogeneous Factor Models - Antonello D'Agostino, Domenico Giannone, Michele Lenza and Michele Modugno
On the Selection of Common Factors for Macroeconomic Forecasting - Alessandro Giovannelli and Tommaso Proietti
On the Design of Data Sets for Forecasting with Dynamic Factor Models - Gerhard Runstler
An Overview of the Factor-Augmented Error-Correction Model - Anindya Banerjee, Massimiliano Marcellino and Igor Masten
Estimation of VAR Systems from Mixed-Frequency Data: the Stock and the Flow Case - Lukas Koelbl, Alexander Braumann, Elisabeth Felsenstein and Manfred Deistler
Modelling Yields at the Zero Lower Bound: Are Shadow Rates the Solution? - Jens H. E. Christensen and Glenn D. Rudebusch
Dynamic Factor Models for the Volatility Surface - Michel Van Der Wel, Sait R. Ozturk and Dick Van Dijk
PART II: FACTOR STRUCTURE AND SPECIFICATION
Analyzing International Business and Financial Cycles Using Multi-Level Factor Models: a Comparison of Alternative Approaches - Jorg Breitung and Sandra Eickmeier
Fast ML Estimation of Dynamic Bifactor Models: an Application to European Inflation - Gabriele Fiorentini, Alessandro Galesi and Enrique Sentana
Country Shocks, Monetary Policy Expectations and ECB Decisions. a Dynamic Non-Linear Approach - Maximo Camacho, Danilo Leiva-Leon and Gabriel Perez-Quiros
Modelling Financial Markets Comovements During Crises: a Dynamic Multi-Factor Approach - Martin Belvisi, Riccardo Pianeti and Giovanni Urga
Specification and Estimation of Bayesian Dynamic Factor Models: a Monte Carlo Analysis with an Application to Global House Price Comovement - Laura E. Jackson, M. Ayhan Kose, Christopher Otrok and Michael T. Owyang
Small-versus Big-Data Factor Extraction In Dynamic Factor Models: an Empirical Assessment - Pilar Poncela and Esther Ruiz
PART III: INSTABILITY
Regularized Estimation of Structural Instability In Factor Models: the US Macroeconomy and the Great Moderation - Laurent Callot and Johannes Tang Kristensen
Dating Business Cycle Turning Points for the French Economy: an MS-DFM Approach - Catherine Doz and Anna Petronevich
Common Faith or Parting Ways? a Time Varying Parameters Factor Analysis of Euro-Area Inflation - Davide Delle Monache, Ivan Petrella and Fabrizio Venditti
PART IV: NOWCASTING AND FORECASTING
Nowcasting Business Cycles: a Bayesian Approach to Dynamic Heterogeneous Factor Models - Antonello D'Agostino, Domenico Giannone, Michele Lenza and Michele Modugno
On the Selection of Common Factors for Macroeconomic Forecasting - Alessandro Giovannelli and Tommaso Proietti
On the Design of Data Sets for Forecasting with Dynamic Factor Models - Gerhard Runstler