TF-MIDAS: a transfer function based mixed-frequency model
Author:
Affiliation:
1. Universidad Complutense de Madrid, Madrid, Spain
2. Decon, Universidad de la República, Montevideo, Uruguay
3. DANAE and ICAE Universidad Complutense de Madrid, Madrid, Spain
Funder
UCM-Santander
Publisher
Informa UK Limited
Subject
Applied Mathematics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/00949655.2021.1879082
Reference20 articles.
1. Castle J, Hendry D, Kitov O. Forecasting and nowcasting macroeconomic variables: a methodological overview. Economics series working paper 674, University of Oxford, Department of Economics; 2013.
2. Unrestricted mixed data sampling (MIDAS): MIDAS regressions with unrestricted lag polynomials
3. Ghysels E, Santa-Clara P, Valkanov R. The MIDAS touch: mixed data sampling regression models. Working paper, UNC and UCLA; 2002.
4. Predicting Volatility: Getting the Most out of Return Data Sampled at Different Frequencies
5. Predicting volatility: getting the most out of return data sampled at different frequencies
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2. A multi-modal approach for mixed-frequency time series forecasting;Neural Computing and Applications;2024-09-04
3. Mallows Model Averaging Estimator for the MIDAS Model with Almon Polynomial Weight;Statistica Sinica;2023
4. Macroeconomic Forecasting Evaluation of MIDAS Models;Contributions to Statistics;2023
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