Studies show that innovation information disclosed by listed firms affects the decision of non-listed firms and their stakeholders. This paper explores whether innovation information disclosed within a specific list board (i.e., market) also spills over to other list boards. Based on the...

We examine predictive machine learning studies from 50 top business and economic journals published between 2010 and 2023. We investigate their transparency regarding the predictive performance of machine learning models compared to less complex traditional statistical models that require fewer...

Quantifying the influence of uncertainty on gold prices is significant for improving related financial decision making. This study proposes a novel CNN-LSTM neural network that can extract potential features from sample data to effectively predict gold prices. Specifically, we demonstrate...