We suggest that dispersion in news sentiment, representing the dispersion in informative M&A performance forecasts, effectively captures M&A information uncertainty, disseminates information about transaction risks, and enhances investors' ability to discern high-risk acquisition attempts. We...

Based on the data of A-share listed companies in Shanghai and Shenzhen from 2013 to 2017 and the air quality monitoring data released by the China National Environmental Monitoring Centre, this paper conducts an empirical test on the relationship between air pollution and corporate cash...

Could real-time big data help unravel material firm events? How would it compare with firm disclosure and traditional media in terms of timeliness and completeness? Could big data provide incremental value-relevant information for investors? With these questions in mind, we use a novel data set...

Geographic diversification of listed companies expands the distance between parent and subsidiary in space geographically; thus, it is urgent to clarify whether the geographic distance between parent and subsidiary companies inhibits or promotes corporate innovation performance. This paper...

The rapid development of the new generation of digital technology has injected new vitality into the digital transformation (DT) and continued growth of enterprises. This paper selects data from China's A-share listed companies from 2010 to 2019 and uses transaction cost theory to empirically...

The devastating impact of the climate crisis has led many countries to promulgate regulations that hold businesses accountable for their environmental externalities. However, while these formal constraints compel businesses to fulfill their legal obligations, scholars argue that acting in a...

Conditions for the convexity of compound geometric tails and compound geometric convolution tails are established. The results are then applied to analyze the convexity of the ruin probability and the Laplace transform of the time to ruin in the classical compound Poisson risk model with and...