Machine Learning Regularization Methods in High-Dimensional Monetary and Financial VARs

Machine Learning Regularization Methods in High-Dimensional Monetary and Financial VARs

Vector autoregressions (VARs) and their multiple variants are standard models in economic and financial research due to their power for forecasting, data analysis and inference. These properties are a consequence of their capabilities to include multiple variables and lags which, however, turns into...

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Detalles Bibliográficos
Main Authors: Sánchez García, Javier, Cruz Rambaud, Salvador
Formato: info:eu-repo/semantics/article
Idioma:English
Publicado: MDPI 2022
Subjects:
VAR
machine learning
LASSO (Least Absolute Shrinkage and Selection Operator)
regularization methods
sparsity
monetary economics
financial economics
Acceso en liña:http://hdl.handle.net/10835/13536

Internet

http://hdl.handle.net/10835/13536

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