Applications of explainable artificial intelligence in finance—a systematic review of finance, information systems, and computer science literature
Digitalization and technologization affect numerous domains, promising advantages but
also entailing risks. Hence, when decision-makers in highly-regulated domains like Finance …
also entailing risks. Hence, when decision-makers in highly-regulated domains like Finance …
Financial sentiment analysis: Techniques and applications
Financial Sentiment Analysis (FSA) is an important domain application of sentiment analysis
that has gained increasing attention in the past decade. FSA research falls into two main …
that has gained increasing attention in the past decade. FSA research falls into two main …
Economic policy uncertainty and corporate financialization: Evidence from China
Y Zhao, K Su - International Review of Financial Analysis, 2022 - Elsevier
Using a quarterly sample of Chinese non-financial listed firms from 2007 to 2020, we find a
U-shaped relationship between economic policy uncertainty (EPU) and corporate …
U-shaped relationship between economic policy uncertainty (EPU) and corporate …
[HTML][HTML] Adaptive cognitive fit: Artificial intelligence augmented management of information facets and representations
Explosive growth in big data technologies and artificial intelligence (AI) applications have
led to increasing pervasiveness of information facets and a rapidly growing array of …
led to increasing pervasiveness of information facets and a rapidly growing array of …
[HTML][HTML] The impact of sentiment and attention measures on stock market volatility
We analyze the impact of sentiment and attention variables on the stock market volatility by
using a novel and extensive dataset that combines social media, news articles, information …
using a novel and extensive dataset that combines social media, news articles, information …
[PDF][PDF] Social media as a bank run catalyst
JA Cookson, C Fox, J Gil-Bazo, JF Imbet… - Available at …, 2023 - bostonfed.org
After the run on Silicon Valley Bank (SVB), US regional banks entered a period of significant
distress. We quantify social media's role in this distress using comprehensive Twitter data …
distress. We quantify social media's role in this distress using comprehensive Twitter data …
The social signal
We examine social media attention and sentiment from three major platforms: Twitter,
StockTwits, and Seeking Alpha. We find that, even after controlling for firm disclosures and …
StockTwits, and Seeking Alpha. We find that, even after controlling for firm disclosures and …
Echo chambers
JA Cookson, JE Engelberg… - The Review of Financial …, 2023 - academic.oup.com
We find evidence of selective exposure to confirmatory information among 400,000 users on
the investor social network StockTwits. Self-described bulls are five times more likely to …
the investor social network StockTwits. Self-described bulls are five times more likely to …
Predictive power of investor sentiment for Bitcoin returns: Evidence from COVID-19 pandemic
In this paper, we examine the impact of investor sentiment on Bitcoin returns. Using a large
dataset of messages discussed on social media and several financial indicators, we create a …
dataset of messages discussed on social media and several financial indicators, we create a …
Social-media and intraday stock returns: The pricing power of sentiment
DC Broadstock, D Zhang - Finance Research Letters, 2019 - Elsevier
This paper tests whether sentiment extracted from social-media (Twitter), has pricing power
towards stock market. Specifically, we evaluate whether firms' intraday stock returns react to …
towards stock market. Specifically, we evaluate whether firms' intraday stock returns react to …