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...
المؤلفون الرئيسيون: | Sánchez García, Javier, Cruz Rambaud, Salvador |
---|---|
التنسيق: | info:eu-repo/semantics/article |
اللغة: | English |
منشور في: |
MDPI
2022
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://hdl.handle.net/10835/13536 |
مواد مشابهة
-
Measuring Financial Knowledge: A Macroeconomic Perspective
حسب: Oliver Márquez, Francisco José, وآخرون
منشور في: (2024) -
Global Research Trends in Financial Transactions
حسب: Abad Segura, Emilio, وآخرون
منشور في: (2020) -
Applying Machine Learning Techniques to the Analysis and Prediction of Financial Data
حسب: Flores Siguenza, Pablo Andres, وآخرون
منشور في: (2024) -
El sector industrial ante la Unión Económica y Monetaria
حسب: Carretero Gómez, Anselmo
منشور في: (2011) -
The Mendicant Preachers and The Merchant's Soul: the civilization of commerce in the late-middle ages and Renaissance Italy (1275-1425)
حسب: Hanssen, M. (Mark), وآخرون
منشور في: (2016)