利用生成式AI的金融預測：Bing Chat在股票市場的評估與應用

Financial Forecasting With Generative AI: Evaluation and Application of Bing Chat in the Stock Market

黃健峯(Chien-Feng Huang) ； 林彧頎(Yu-Chi Lin) ； 洪宗貝(Tzung-Pei Hong)

《前瞻科技與管理》 12卷2期 (2024/05) Pp. 12-28

https://doi.org/10.6193/JATM.202405_12(2).0002

摘要

本論文介紹及分析Bing Chat在股票市場相關新聞標題方面的應用潛力，並評估其是否能提供準確的預測，以改善投資者的收益。我們首先透過網路資料爬梳以進行分析，並將Bing Chat的回覆內容透過文本分類的方法，進行分數運算，並與金融數據進行分析比較。最終我們的研究成果顯示Bing Chat在分析股票市場相關新聞標題方面的實用價值，可以被視為一個有潛力的金融投資工具以提高投資決策的準確性和效益。

關鍵字

生成式AI ； Bing Chat ； ChatGPT ； 金融投資 ； 文本分類

並列摘要

In this paper we investigate the application of Bing Chat in stock-market-related news headlines and evaluate whether it can offer accurate predictions to enhance investors' returns. We first perform an analysis using web data scraping techniques to gather information. We then employ a text classification method to score the replied content of Bing Chat. Finally, we compare these scores with financial data for further evaluation. The experimental results demonstrate that Bing Chat can provide practical assistance in the analysis of stock-market-related news headlines. It can be considered a potential financial investment tool that enhances the accuracy and efficacy for decision-making in investment.

並列關鍵字

generative AI ； Bing Chat ； ChatGPT ； finance investment ； text categorization

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