IDEAS home Printed from https://ideas.repec.org/p/kan/wpaper/202417.html
   My bibliography  Save this paper

Deciphering the Influence of the Tone of Management Discussion and Analysis on Corporate Innovation: Integrating Textual Analysis

Author

Listed:
  • Qingyuan Wu

    (School of Economics and Management, Hanshan Normal University, Chaozhou, China.)

  • William A. Barnett

    (Department of Economics, University of Kansas, Lawrence, KS 66045, USA and Center for Financial Stability, New York City, NY, USA)

  • Xue Wang

    (Department of Economics, Emory University, Atlanta, GA, U.S. and Institute of Chinese Financial Studies, Southwestern University of Finance and Economics, Chengdu, China)

  • Junru Zhao

    (School of Business Administration, Guizhou University of Finance and Economics, Guiyang, Guizhou 550025, China.)

Abstract

How does Management's Discussion and Analysis (MD&A) sentiment tone affect corporate innovation? The influence mechanism is straight and very robust. To some extent, the positive sentiment tone, representing a psychological state, serves as an intermediary between macro or micro conditions and corporate innovation. This paper uses a machine learning method to measure the MD&A sentiment tone and get innovation indicators in a broader sense. The fix effect model shows that when the value of a firm's positive sentiment tone increases by 1 unit, its innovation increases by approximately 1.02 units. Eliminating industry and market effects, the exclusive sentiment tone information owned by the firm would still play a strong influence on innovation.

Suggested Citation

  • Qingyuan Wu & William A. Barnett & Xue Wang & Junru Zhao, 2024. "Deciphering the Influence of the Tone of Management Discussion and Analysis on Corporate Innovation: Integrating Textual Analysis," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202417, University of Kansas, Department of Economics.
  • Handle: RePEc:kan:wpaper:202417
    as

    Download full text from publisher

    File URL: https://kuwpaper.ku.edu/2024Papers/202417.pdf
    Download Restriction: no
    ---><---

    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:kan:wpaper:202417. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Professor Zongwu Cai (email available below). General contact details of provider: https://edirc.repec.org/data/deuksus.html .

    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.