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2024 | OriginalPaper | Buchkapitel

9. ChatGPT for Stock Price Prediction and Detecting Financial Frauds

verfasst von : Gioia Arnone

Erschienen in: AI and Chatbots in Fintech

Verlag: Springer Nature Switzerland

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Abstract

The purpose of this chapter is to present an informative examination of the unique usage of ChatGPT, which is a sophisticated language model, in the realms of detecting financial fraud and predicting stock prices. Beginning with an explanation of the fundamental concepts of ChatGPT, this in-depth examination will introduce readers to the distinctive capabilities of ChatGPT, which include the ability to comprehend and create text that is very reminiscent of human language. Next, we will dig into the strategic integration of ChatGPT in the arena of stock price prediction in the next portion of the chapter. Within the scope of this research, the use of machine learning and natural language processing to the analysis of financial data and market sentiment in order to generate forecasts that are well-informed is investigated. While this is going on, the chapter investigates how ChatGPT might improve fraud detection systems by using its capacity to grasp and contextualize textual material, particularly in the context of recognizing examples of financial forgeries. In these particular domains, the usefulness of ChatGPT is shown via the use of practical examples and case studies from the actual world. Ethical issues, obstacles, and the possible influence on financial markets are all factors that are discussed in this conversation. The purpose of this chapter is to provide readers with a more in-depth knowledge of the substantial effect that sophisticated language models may have in the realm of finance by delving into the links that exist between ChatGPT, fraud detection, and stock price prediction.

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Literatur
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Metadaten
Titel
ChatGPT for Stock Price Prediction and Detecting Financial Frauds
verfasst von
Gioia Arnone
Copyright-Jahr
2024
DOI
https://doi.org/10.1007/978-3-031-55536-7_9