Dynamic factors in the presence of blocks
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Publication:737940
DOI10.1016/j.jeconom.2010.11.004zbMath1441.62716OpenAlexW1977361774MaRDI QIDQ737940
Publication date: 12 August 2016
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jeconom.2010.11.004
Applications of statistics to economics (62P20) Factor analysis and principal components; correspondence analysis (62H25) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)
Related Items (16)
Generalized dynamic factor models and volatilities: estimation and forecasting ⋮ Large volatility matrix analysis using global and national factor models ⋮ Inferential theory for generalized dynamic factor models ⋮ Canonical correlation-based model selection for the multilevel factors ⋮ Principal components estimation and identification of static factors ⋮ Constrained Factor Models for High-Dimensional Matrix-Variate Time Series ⋮ D-CCA: A Decomposition-Based Canonical Correlation Analysis for High-Dimensional Datasets ⋮ Detecting groups in large vector autoregressions ⋮ A semiparametric latent factor model for large scale temporal data with heteroscedasticity ⋮ Large Covariance Estimation by Thresholding Principal Orthogonal Complements ⋮ Autoregressive models for matrix-valued time series ⋮ Market liquidity as dynamic factors ⋮ A robust procedure to build dynamic factor models with cluster structure ⋮ Estimation of high-dimensional linear factor models with grouped variables ⋮ Determining the number of factors with potentially strong within-block correlations in error terms ⋮ Factor Extraction in Dynamic Factor Models: Kalman Filter Versus Principal Components
Cites Work
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- Market liquidity as dynamic factors
- Inertia characteristics of self-adjoint matrix polynomials
- The generalized dynamic factor model consistency and rates
- Arbitrage, Factor Structure, and Mean-Variance Analysis on Large Asset Markets
- Let's Get Real: A Factor Analytical Approach to Disaggregated Business Cycle Dynamics
- Automatic Frequency Domain Inference on Semiparametric and Nonparametric Models
- Forecasting Using Principal Components From a Large Number of Predictors
- Determining the Number of Factors in the General Dynamic Factor Model
- OPENING THE BLACK BOX: STRUCTURAL FACTOR MODELS WITH LARGE CROSS SECTIONS
- Determining the Number of Factors in Approximate Factor Models
- The Generalized Dynamic Factor Model
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