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...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Sánchez García, Javier, Cruz Rambaud, Salvador
Format: info:eu-repo/semantics/article
Sprache:English
Veröffentlicht: MDPI 2022
Schlagworte:
VAR
machine learning
LASSO (Least Absolute Shrinkage and Selection Operator)
regularization methods
sparsity
monetary economics
financial economics
Online Zugang:http://hdl.handle.net/10835/13536

Online

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

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