Although policy support for emerging industries has become an important choice for the world's major economies, the deviation between policy objectives and the status quo of industrial development indicates that it is remains necessary to conduct a comprehensive analysis of industrial policies....

The rapid development of Chinese online loan platforms (OLPs), as well as their risks, has attracted widespread attention, increasing the demand for a complete credit rating mechanism. The present study establishes a credit rating indicator system for 130 mainstream Chinese OLPs that combines 12...

Co-training is a method for combining labeled and unlabeled data when examples can be thought of as containing two distinct sets of features. It has had a number of practical successes, yet previous theoretical analyses have needed very strong assumptions on the data that are unlikely to be...

We propose an alternative approach to the modeling of the positive dependence between the probability of default and the loss given default in a portfolio of exposures, using a bivariate urn process. The model combines the power of Bayesian nonparametrics and statistical learning, allowing for...

In this paper, the impact of investment horizon on asset co-skewness is examined both empirically and theoretically. We detail a strong horizon-based estimation bias for co-skewness. An asset that has positive co-skewness in one horizon may have negative co-skewness in another. This phenomenon...