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Reduced-Rank Matrix Autoregressive Models: A Medium N Approach
Alain Hecq
,
Ivan Ricardo
*
,
Ines Wilms
*
Corresponding author for this work
QE Econometrics
GSBE other - not theme-related research
MCM | School of Business and Economics
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Working paper / Preprint
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Dive into the research topics of 'Reduced-Rank Matrix Autoregressive Models: A Medium N Approach'. Together they form a unique fingerprint.
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Keyphrases
Co-movement
100%
Autoregressive Model
100%
Reduced Rank Matrices
100%
Reduced Rank Regression
40%
Move Structure
40%
Matrix-valued Time Series
40%
Index Model
20%
North America
20%
Economic Time Series
20%
Euro Area
20%
Economic Indicators
20%
US States
20%
American Countries
20%
Coefficient Matrix
20%
Serial Correlation Common Feature
20%
State Indicators
20%
Reduced Rank Models
20%
Tensor Structure
20%
INIS
matrices
100%
tools
50%
dimensions
50%
economics
50%
applications
25%
correlations
25%
indicators
25%
tensors
25%
Mathematics
Matrix (Mathematics)
100%
Autoregressive Model
100%
Serial Correlation
33%
Model Index
33%
Coefficient Matrix
33%
Tensor
33%
Engineering
Illustrates
100%
Powerful Tool
100%
Coefficient Matrix
100%
Computer Science
Reduced Rank Regression
100%
And-States
50%
Coefficient Matrix
50%
Structure Tensor
50%
Economics, Econometrics and Finance
Time Series
100%
Economic Indicator
33%