
- 688 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Dynamic Factor Models
About this book
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.
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Yes, you can access Dynamic Factor Models by Siem Jan Koopman, Eric Hillebrand, Siem Jan Koopman,Eric Hillebrand in PDF and/or ePUB format, as well as other popular books in Economics & Macroeconomics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Front Cover
- Dynamic Factor Models
- Copyright page
- Contents
- List of Contributors
- Editorial Introduction
- Dynamic Factor Models: A Brief Retrospective
- Part I: Methodology
- Part II: Factor Structure and Specification
- Part III: Instability
- Part IV: Nowcasting and Forecasting