IDEAS home Printed from https://ideas.repec.org/a/rom/mancon/v13y2019i1p1168-1178.html
   My bibliography  Save this article

New Tools Available To Managers In The Corporate Valuation Process

Author

Listed:
  • Leonard-Cãlin ABRUDAN
  • Mirabela-Constan?a MATEI
  • Maria-Madela ABRUDAN

Abstract

Nowadays, managers have to cope with many tasks. To do so, they need instruments, methods, tools to use them in their activity. But, to keep pace with the ongoing technological developments, they need to use the most innovative tools. One of these will be described in this paper. Its name is sentimental analysis or sentiment analysis. In the context of the various existing types of social media platforms which are widely available, it is a pity not to use them to support your activities, as a manager. People, as customers or as reviewers, tend to express their opinions. And in recent years they do that, especially through those aforementioned social media platforms. Regardless of their name, platforms name, people use them to post what they think or consider about many topics and then they share their posts with other users registered to those platforms. The most interesting part of this process is the diversity of the topics. Politics, economics, sports, purchased goods or acquired services, all these and many more are subjects of the usual people posts on the social media platforms.

Suggested Citation

  • Leonard-Cãlin ABRUDAN & Mirabela-Constan?a MATEI & Maria-Madela ABRUDAN, 2019. "New Tools Available To Managers In The Corporate Valuation Process," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 13(1), pages 1168-1178, November.
  • Handle: RePEc:rom:mancon:v:13:y:2019:i:1:p:1168-1178
    as

    Download full text from publisher

    File URL: https://conference.management.ase.ro/archives/2019/pdf/5_19.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chang, Shao-Chi & Chen, Sheng-Syan & Chou, Robin K. & Lin, Yueh-Hsiang, 2012. "Local sports sentiment and returns of locally headquartered stocks: A firm-level analysis," Journal of Empirical Finance, Elsevier, vol. 19(3), pages 309-318.
    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. Lepori, Gabriele M., 2015. "Investor mood and demand for stocks: Evidence from popular TV series finales," Journal of Economic Psychology, Elsevier, vol. 48(C), pages 33-47.
    2. Samahita, Margaret & Holm, Håkan J., 2020. "Mining for Mood Effect in the Field," Working Papers 2020:2, Lund University, Department of Economics.
    3. Kim, Jae H., 2017. "Stock returns and investors' mood: Good day sunshine or spurious correlation?," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 94-103.
    4. Abudy, Menachem (Meni) & Mugerman, Yevgeny & Shust, Efrat, 2022. "The Winner Takes It All: Investor Sentiment and the Eurovision Song Contest," Journal of Banking & Finance, Elsevier, vol. 137(C).
    5. Brian C. Payne & Jiri Tresl & Geoffrey C. Friesen, 2018. "Sentiment and Stock Returns," Journal of Sports Economics, , vol. 19(6), pages 843-872, August.
    6. Al-Khazali, Osamah & Bouri, Elie & Roubaud, David & Zoubi, Taisier, 2017. "The impact of religious practice on stock returns and volatility," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 172-189.
    7. Narayan, Paresh Kumar & Rath, Badri Narayan & Prabheesh, K.P., 2016. "What is the value of corporate sponsorship in sports?," Emerging Markets Review, Elsevier, vol. 26(C), pages 20-33.
    8. Dan Gabriel Anghel, 2018. "Market-Level Sports Sentiment: The case of the Romanian Frontier Stock Market," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 10(2), pages 095-0108, December.
    9. Scharnowski, Matthias & Scharnowski, Stefan & Zimmermann, Lukas, 2023. "Fan tokens: Sports and speculation on the blockchain," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 89(C).
    10. Drummond, Philip A., 2023. "Market quality surrounding anticipated distraction events: Evidence from the FIFA World Cup," Journal of Financial Markets, Elsevier, vol. 63(C).
    11. Demir, Ender & Ersan, Oguz & Popesko, Boris, 2022. "Are Fan Tokens Fan Tokens?," Finance Research Letters, Elsevier, vol. 47(PB).
    12. Pantzalis, Christos & Park, Jung Chul, 2014. "Exuberance out of left field: Do sports results cause investors to take their eyes off the ball?," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 760-780.
    13. Dehua Shen & Wei Zhang, 2021. "Stay-at-Home Stocks Versus Go-Outside Stocks: The Impacts of COVID-19 on the Chinese Stock Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(2), pages 305-318, June.
    14. Michael Nofer & Oliver Hinz, 2015. "Using Twitter to Predict the Stock Market," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 57(4), pages 229-242, August.
    15. Zhang, Yongjie & Zhang, Yuzhao & Shen, Dehua & Zhang, Wei, 2017. "Investor sentiment and stock returns: Evidence from provincial TV audience rating in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 288-294.
    16. Rilwan Sakariyahu & Mohamed Sherif & Audrey Paterson & Eleni Chatzivgeri, 2021. "Sentiment‐Apt investors and UK sector returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3321-3351, July.
    17. Fung, Ka Wai Terence & Demir, Ender & Lau, Chi Keung Marco & Chan, Kwok Ho, 2015. "Reexamining sports-sentiment hypothesis: Microeconomic evidences from Borsa Istanbul," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 337-355.
    18. Yihui Pan & Elena S. Pikulina & Stephan Siegel & Tracy Yue Wang, 2022. "Do Equity Markets Care about Income Inequality? Evidence from Pay Ratio Disclosure," Journal of Finance, American Finance Association, vol. 77(2), pages 1371-1411, April.
    19. Sergiy Saydometov & Sanjiv Sabherwal & Ramya Rajajagadeesan Aroul, 2020. "Sentiment and its asymmetric effect on housing returns," Review of Financial Economics, John Wiley & Sons, vol. 38(4), pages 580-600, October.
    20. Basheer Ahmad & Usman Ali Warraich & Sidra Saeed, 2014. "Impact Of Investor Sentiments On Future Trading," IBT Journal of Business Studies (JBS), Ilma University, Faculty of Management Science, vol. 10(2), pages 16-32.

    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:rom:mancon:v:13:y:2019:i:1:p:1168-1178. 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: Ciocoiu Nadia Carmen (email available below). General contact details of provider: https://edirc.repec.org/data/mnasero.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.