We propose a multiscale weighted principal component regression (MWPCR) framework for the use of high-dimensional features with strong spatial features (e.g., smoothness and correlation) to predict an ...
The authors propose an application of Kelly et al's 2018 model combining regression-based betas with cross-sectional and time series elements, enhancing ...
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