We propose a flexible and robust non-parametric local logit regression for modelling and predicting defaulted loans' recovery rates that lie in [0,1]. Applying the model to the widely studied Moody's recovery dataset and estimating it by a data-driven method, the local logit regression uncovers...

Economic time series are available at different frequencies due to their origin and data collection techniques. A mixed data sampling (MIDAS) regression is mainly a forecasting tool designed to harness mixed-frequency data. This dissertation proposes a computationally efficient estimation...