Roughly 60% of all publically announced advisors to China’s “Going Out” M&A transactions from 2000 to 2014 were from international financial centres (representing over 70% of deal value). Why did advisors, located so far away from both acquirer and target, manage to dominate the M&A...

We summarize the major findings of empirical studies that examine the effect of banking development on innovation and highlight their relative contributions to our understanding of the various roles the banking sector plays in determining innovation. We reassess the effect of banking development...

On March 22, 2018, Trump proposed to impose tariffs on up to $50 billion of Chinese imports leading to a significant concern over the "Trade War" between the US and China. We evaluate the market responses to this event for firms in both countries, depending on their direct and indirect exposures...

Purpose: The aim of this paper is to provide methods to find the emission source and estimate the amount of waste gas emissions in the electricity coal supply chain, establish the model of the environmental impact (burden) in the electricity coal supply chain, detect the critical factor which...

E-commerce and FinTech are currently booming in China. The growing consumer market is accompanied by internet finance, by which consumers can easily borrow money from financial institutions online. As a result, the growing risks of financial institutions are of concern to the government and...

The paper examines the potential of deep learning to produce decision support models from structured, tabular data. Considering the context of financial risk management, we develop a deep learning model for predicting whether individual spread traders are likely to secure profits from future...

We consider a natural generalization of classical scheduling problems to a setting in which using a time unit for processing a job causes some time-dependent cost, the time-of-use tariff, which must be paid in addition to the standard scheduling cost. We focus on preemptive single-machine...

We generate high-frequency and up-to-date indicators to monitor news media coverage of supply (raw, intermediate and final goods) and labour shortages in Canada. We use natural language processing to construct two news-based indicators and time-varying topic narratives to track Canadian media...

We propose a novel measure for workers' financial incentives based on withinestablishment wage differences among similar workers from the same occupation. This measure captures all forms of incentive pay that lead to workeremployer-specific pay premiums, including explicit (e.g., bonuses) and...