This study employs big data and text data mining techniques to forecast financial market volatility. We incorporate financial information from online news sources into time series volatility models. We categorize a topic for each news article using time stamps and analyze the chronological...

In this study, we examine how information provision affects the degree of overconfidence using an online experiment. The 4,210 experimental participants engaged in stock market prediction exercises were asked to evaluate their absolute and relative performance. We conducted a randomized...