IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i23p4830-d1291477.html
   My bibliography  Save this article

Analyzing the Impact of Financial News Sentiments on Stock Prices—A Wavelet Correlation

Author

Listed:
  • Marian Pompiliu Cristescu

    (Faculty of Economic Sciences, Lucian Blaga University of Sibiu, 550324 Sibiu, Romania)

  • Dumitru Alexandru Mara

    (Faculty of Economic Sciences, Lucian Blaga University of Sibiu, 550324 Sibiu, Romania)

  • Raluca Andreea Nerișanu

    (Faculty of Economic Sciences, Lucian Blaga University of Sibiu, 550324 Sibiu, Romania)

  • Lia Cornelia Culda

    (Faculty of Economic Sciences, Lucian Blaga University of Sibiu, 550324 Sibiu, Romania)

  • Ionela Maniu

    (Faculty of Sciences, Lucian Blaga University of Sibiu, 550012 Sibiu, Romania)

Abstract

This study investigates the complex interplay between public sentiment, as captured through news titles and descriptions, and the stock prices of three major tech companies: Microsoft (MSFT), Tesla (TSLA), and Apple (AAPL). Leveraging advanced analytical methods including Pearson correlation, wavelet coherence, and regression analysis, this research probes the degree to which stock-price fluctuations can be attributed to the polarity of media sentiment. The methodology combines statistical techniques to assess sentiment’s predictive power for stock opening and closing prices, while wavelet coherence analysis unveils the temporal dynamics of these relationships. The results demonstrate a significant correlation between sentiment polarity and stock prices, with description polarity affecting Microsoft’s opening prices, title polarity influencing Tesla’s opening prices, and a positive impact of title polarity on Apple’s closing prices. However, Tesla’s stock showed no significant coherence, indicating a potential divergence in how sentiment affects stock behavior across companies. The study highlights the importance of sentiment analysis in forecasting stock-market trends, revealing not only direct correlations but also lagged influences on stock prices. Despite its focus on large-cap tech firms, this research provides a foundational understanding of sentiment’s financial implications, suggesting further investigation into smaller firms and other market sectors.

Suggested Citation

  • Marian Pompiliu Cristescu & Dumitru Alexandru Mara & Raluca Andreea Nerișanu & Lia Cornelia Culda & Ionela Maniu, 2023. "Analyzing the Impact of Financial News Sentiments on Stock Prices—A Wavelet Correlation," Mathematics, MDPI, vol. 11(23), pages 1-20, November.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:23:p:4830-:d:1291477
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/23/4830/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/11/23/4830/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yugang Yin & Rongfu Tian, 2017. "Investor Sentiment, Financial Report Quality and Stock Price Crash Risk: Role of Short-Sales Constraints," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(3), pages 493-510, March.
    2. Li, Kun, 2018. "Reaction to news in the Chinese stock market: A study on Xiong’an New Area Strategy," Journal of Behavioral and Experimental Finance, Elsevier, vol. 19(C), pages 36-38.
    3. Jinfang Li & Chunpeng Yang, 2017. "The cross-section and time-series effects of individual stock sentiment on stock prices," Applied Economics, Taylor & Francis Journals, vol. 49(47), pages 4806-4815, October.
    4. Chahine, Salim & Mansi, Sattar & Mazboudi, Mohamad, 2015. "Media news and earnings management prior to equity offerings," Journal of Corporate Finance, Elsevier, vol. 35(C), pages 177-195.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gao, Bin & Liu, Xihua, 2020. "Intraday sentiment and market returns," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 48-62.
    2. Al-Maadid, Alanoud & Alhazbi, Saleh & Al-Thelaya, Khaled, 2022. "Using machine learning to analyze the impact of coronavirus pandemic news on the stock markets in GCC countries," Research in International Business and Finance, Elsevier, vol. 61(C).
    3. Pan Xu & Jun He & Daojuan Wang & Sofia A. Johan & Siwei Lin, 2024. "Could the simultaneous persistence of greater cash holdings and interest‐bearing debts affect stock price crash risk?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 3226-3262, July.
    4. Hong, Ziyang & Liu, Qingfu & Tse, Yiuman & Wang, Zilu, 2023. "Black mouth, investor attention, and stock return," International Review of Financial Analysis, Elsevier, vol. 90(C).
    5. Sanghak Choi & Hail Jung, 2021. "National Tax Service Connection and Stock Price Crash Risk: Evidence from Korea," Annals of Economics and Finance, Society for AEF, vol. 22(1), pages 83-107, May.
    6. Zhenjie Wang & Jiewei Zhang & Hafeez Ullah, 2023. "Exploring the Multidimensional Perspective of Retail Investors’ Attention: The Mediating Influence of Corporate Governance and Information Disclosure on Corporate Environmental Performance in China," Sustainability, MDPI, vol. 15(15), pages 1-33, August.
    7. Arcuri, Maria Cristina & Gandolfi, Gino & Russo, Ivan, 2023. "Does fake news impact stock returns? Evidence from US and EU stock markets," Journal of Economics and Business, Elsevier, vol. 125.
    8. Li, Jinfang, 2022. "The sentiment pricing dynamics with short-term and long-term learning," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    9. Lin, Xiaowei & Ding, Zijun & Chen, Aihua & Shi, Huaizhi, 2022. "Internal whistleblowing and stock price crash risk," International Review of Financial Analysis, Elsevier, vol. 84(C).
    10. Zhang, Jiawei & Li, Yuan & Xu, Hanwen & Ding, Yi, 2023. "Can ESG ratings mitigate managerial myopia? Evidence from Chinese listed companies," International Review of Financial Analysis, Elsevier, vol. 90(C).
    11. Linyan Fan & Sheng Yao, 2022. "Analyst Site Visits and Corporate Environmental Information Disclosure: Evidence from China," IJERPH, MDPI, vol. 19(23), pages 1-21, December.
    12. Xu, Yingying & Lien, Donald, 2022. "Which affects stock performances more, words or deeds of the key person?," International Review of Financial Analysis, Elsevier, vol. 84(C).
    13. Que, Jiangjing & Zhang, Xueyong, 2021. "Money chasing hot industries? Investor attention and valuation of venture capital backed firms," Journal of Corporate Finance, Elsevier, vol. 68(C).
    14. Fan, Yi & Gao, Yang, 2024. "Short selling, informational efficiency, and extreme stock price adjustment," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1009-1028.
    15. Wang, Ruina & Li, Jinfang, 2021. "The influence and predictive powers of mixed-frequency individual stock sentiment on stock returns," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    16. Gao, Shenghao & Liu, Jinzhao & Zhang, Qi & Zhou, Jun, 2023. "Stock hyping before auction-style SEOs: Are primary market investors misled?," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 123-140.
    17. Dang, Man & Puwanenthiren, Premkanth & Truong, Cameron & Henry, Darren & Vo, Xuan Vinh, 2022. "Audit quality and seasoned equity offerings methods," International Review of Financial Analysis, Elsevier, vol. 83(C).
    18. Jinfang Li, 2021. "The term structure effects of individual stock investor sentiment on excess returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1695-1705, April.
    19. Terver Kumeka & Oluwatosin Adeniyi, 2023. "Stock markets response to contagious disease: Evidence on the impact of COVID‐19 in the three worst hit African economies," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4476-4499, October.
    20. Bhanwar Singh & Rosy Dhall & Sahil Narang & Savita Rawat, 2024. "The Outbreak of COVID-19 and Stock Market Responses: An Event Study and Panel Data Analysis for G-20 Countries," Global Business Review, International Management Institute, vol. 25(3), pages 606-631, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:11:y:2023:i:23:p:4830-:d:1291477. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.