Comparison of the MAPE of multivariate mixed-frequency models: Based on IP, NFP, and CU indicators.

<p>Comparison of the MAPE of multivariate mixed-frequency models: Based on IP, NFP, and CU indicators.</p>

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Bibliographic Details
Main Author:	Feng Shen (151470) (author)
Other Authors:	Xiaodong Yan (299685) (author), Yuhuang Shang (20416966) (author)
Published:	2024
Subjects:	Neuroscience Evolutionary Biology Ecology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified macroeconomic data show frequency lag structures empirical results show diebold &# 8211 pso algorithm addresses novel hybrid pso mixed data sampling midas models improves improving forecast accuracy benchmark midas model benchmark models forecast accuracy midas model regression model forecast horizon forecast cost pso aimed pso ). multivariate pso xlink "> weighting problem significantly better predictive potential optimization effect innovative use forecasting gdp automatically optimize
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