Natural Language Processing and Stock Returns

Manuela Pedio

Chapter 2 in Artificial Intelligence and Beyond for Finance, 2024, pp 73-102 from World Scientific Publishing Co. Pte. Ltd.

Abstract: Natural language processing has become popular in many fields, including accounting and finance, due to the growing availability of textual and spoken data and the increase in computing power and storage capacity. In particular, textual analysis has been used in accounting and finance to read corporate disclosures, financial news articles, and social media posts. In this chapter, we summarize the main steps for a natural language processing project in the area of accounting and finance. Then, we specifically review the literature that has explored the predictive power of textual data from different sources for stock returns.

Keywords: Artificial Intelligence; Machine Learning; Deep Learning; Reinforcement Learning; Sentiment Analysis; Portfolio Management; Financial Forecasting (search for similar items in EconPapers)
JEL-codes: C63 C8 G11 G17 (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.worldscientific.com/doi/pdf/10.1142/9781800615212_0002 (application/pdf)
https://www.worldscientific.com/doi/abs/10.1142/9781800615212_0002 (text/html)
Ebook Access is available upon purchase.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:wschap:9781800615212_0002

Ordering information: This item can be ordered from

Access Statistics for this chapter

More chapters in World Scientific Book Chapters from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().