We investigate the puzzle in the literature that various parametric loss given default (LGD) statistical models perform similarly by comparing their performance in a simulation framework. We find that, even using the full set of explanatory variables from the assumed data generating process,...

We apply multiple machine learning (ML) methods to model loss given default (LGD) for corporate debt using a common dataset that is cross-sectional but collected over different time periods and shows much variation over time. We investigate the efficacy of three cross-validation (CV) schemes for...

We use Markov chain Monte Carlo (MCMC) sampling to draw model coefficients to generate LGD distributions. We find that applying this Bayesian method on a sophisticated model that accounts for the bi-modal distribution of the LGDs, such as the zero-one-inflated beta (ZOIB) model, can generate LGD...

Background: We examine the signaling effect of borrowers’ social media behavior, especially self-disclosure behavior, on the default probability of money borrowers on a peer-to-peer (P2P) lending site. Method: We use a unique dataset that combines loan data from a large P2P lending site with...

Photocatalytic degradation is a promising means to restore the ever-growing pharmacological active compounds (PHACs) contamination in the water environment. Herein, the oxygen vacancies (OVs) modulated Z-scheme CuWO4/CuBi2O4 hybrid systems were fabricated at thermal treatment by in-situ loading...

Physicians' participation in online healthcare platforms serves to integrate online healthcare resources with the offline medical system. This integration brings opportunities for reshaping healthcare delivery systems. Although, in the field of telemedicine, there has been extensive discussion...

Teleconsultations allow patients to search, receive, and pay for medical consultations virtually. With its remote diagnosis and treatment capability, teleconsultations are proposed as a potential solution to a longstanding social problem, geographic disparities in healthcare. While it sounds...

With today’s technological advancements, mobile phones and wearable devices have become extensions of an increasingly diffused and smart digital infrastructure. In this paper, we examine mobile health (mHealth) platforms and their health and economic impacts on the outcomes of chronic disease...

Recent years have seen robust growth in online medical consultation platforms. These platforms allow patients to access various healthcare services provided by doctors (e.g., health assessment, diagnosis, consultation, and supervision). In China, many such platforms allow patients to give small...

Online mental healthcare platforms have flourished during the COVID-19 pandemic, but the media choice in online physician-patient interactions has still been a conundrum for all stakeholders. As an essential service design element, communication media could affect patient revisit, which in turn...