Machine learning models are becoming increasingly important in the prediction of economic crises. The models, however, use datasets comprising a large number of predictors (features) which impairs model interpretability and their ability to provide adequate guidance in the design of crisis...

Even though blockchain as a research topic incites broad academic interest, there is arguably a balkanization that occurred along the natural delineation between public-permissionless blockchains and private-permissioned blockchains. IS researchers, for instance, have been more inclined to...

Zn–Ni battery is prospective green energy storage device. However, Zn(OH)42–, the dissolved product of ZnO in the electrolyte, redistributes during the cycle, leading to the shape changing of the anode. This issue severely limits the lifespan of zinc anodes. Despite the success in improving...

We develop a mixed-frequency, tree-based, gradient-boosting model designed to assess the default risk of privately held firms in real time. The model uses data from publicly-traded companies to construct a probability of default (PD) function. This function integrates high-frequency,...

Machine learning models are becoming increasingly important in the prediction of economic crises. The models, however, use datasets comprising a large number of predictors (features) which impairs model interpretability and their ability to provide adequate guidance in the design of crisis...

This dissertation investigates empirically the consequences of recent fiscal policy changes on China?s rural development. It uses a county-level dataset covering over 90 percent of rural counties and a period of 13 years since 1993, in which China started to experience a series of fiscal reforms...

This study investigates the effectiveness of government intervention in rescuing bearish markets in a transition economy. Focusing on a pre- and a post-intervention period, the findings reveal that government intervention successfully rescued bearish markets in China and led to a fundamental...

The existence of information asymmetry in automobile insurance market has been studied extensively, yet the previous work mainly focus on different characteristics of insureds, and less frequently on different types of claims. We make use of a unique and complete dataset, which enable us to test...