Artificial intelligence (AI) and machine learning (ML) are two related technologies that are
emergent in financial scholarship. However, no review, to date, has offered a wholistic …

This paper reviews the current state of ChatGPT technology in finance and its potential to
improve existing NLP-based financial applications. We discuss the ethical and regulatory …

We examine the potential of ChatGPT and other large language models in predicting stock
market returns using news headlines. We use ChatGPT to assess whether each headline is …

Stakeholder activism is putting increasing pressure on firms to engage in greening conduct
to enhance ESG performance and financial performance. Stakeholders have expectations …

Predicting stock price movements is a challenging task. Previous studies mostly used
numerical features and news sentiments of target stocks to predict stock price movements …

Today's interconnected environment is characterized by ESG (environmental, social, and
corporate governance), networks of people, organizations, and devices that are …

Although there is ample evidence that digital technologies are strategically important for
value creation, extant literature lacks holistic concepts that capture an organization's …

We create a culture dictionary using one of the latest machine learning techniques—the
word embedding model—and 209,480 earnings call transcripts. We score the five corporate …

Stock prediction via market data analysis is an attractive research topic. Both stock prices
and news articles have been employed in the prediction processes. However, how to …

We provide large-scale evidence on the occurrence and value of FinTech innovation. Using
data on patent filings from 2003 to 2017, we apply machine learning to identify and classify …