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higher frequency auxiliary data only for forecasting (see Giannone, Monti and Reichlin (2016)). The second method transforms … our method substantially decreases forecasting errors for recessions, but casting the model in a monthly frequency …
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While previous academic research highlights the potential of machine learning and big data for predicting corporate bond recovery rates, the operations management challenge is to identify the relevant predictive variables and the appropriate model. In this paper, we use meta-learning to combine...
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