This study examines the connectedness of firm-level online investor sentiment using Dow Jones Industrial Average … constituent stocks. Leveraging two proxies of online textual sentiment, namely news media and social media sentiment, we … investigate sentiment connectedness at two levels: frequency interval and asymmetric level. Frequency connectedness dissects …

three-factor theory and to build an Asymmetric Impact-Sentiment Analysis (AISA) for resource allocation prioritization. We …

sentiment in Switzerland. Economic sentiment includes consumer sentiment and business sentiment. The research period for the … text sentiment analysis ranges from 2016 to 2022, so this analysis includes the impact of the COVID-19 lockdown period. I … contribute two new indices: one measures news sentiment in the German-speaking part of Switzerland, and the other measures news …

Financial sentiment analysis is crucial for making informed decisions in the financial markets, as it helps predict … trends, guide investments, and assess economic conditions. Traditional methods for financial sentiment classification, such … advancements in deep learning, particularly transformer-based models like GPT and BERT, have significantly enhanced sentiment …

antecedents from the sentiment perspective, most of them focus on the effect size, without differentiating the distinct effects of … positive and negative sentiment. This study not only tests the association between positive (negative) sentiment and online … forwarding but also examines how the aforementioned association varies from sentiment dispersion, measured by the variance of …