IDEAS home Printed from https://ideas.repec.org/a/sae/manlab/v40y2015i3-4p239-251.html
   My bibliography  Save this article

How Stock Market Reacts to Budget Announcement? Through the Lens of Social Media in Indian Context

Author

Listed:
  • Aparup Khatua
  • Apalak Khatua

Abstract

Analysis of social media data like tweet feeds can reveal market sentiments. So, researchers are trying to forecast the stock market behaviour through social media analytics. However, the extant research broadly focused on a longer time horizon and attempted to forecast mostly stock market level indicators. On the contrary, we employ social media analytics to forecast stock market’s spontaneous behaviour as a reaction to a macroeconomic event, that is, Indian Budget announcement on 28 February 2015. We captured stock market reactions through company-level Cumulative Abnormal Returns (CAR). We collected around 0.37 million budget related tweets during our three-day event window. Our empirical evidence, of 190 firms from 8 different industries, confirms that industry tweet volume and sentiment can be an indicator of company-level share price movements. This article contributes to the extant literature of information science research as well as behavioural finance by demonstrating the applicability of social media analytics for event study methodology.

Suggested Citation

  • Aparup Khatua & Apalak Khatua, 2015. "How Stock Market Reacts to Budget Announcement? Through the Lens of Social Media in Indian Context," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 40(3-4), pages 239-251, August.
  • Handle: RePEc:sae:manlab:v:40:y:2015:i:3-4:p:239-251
    DOI: 10.1177/0258042X16634568
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0258042X16634568
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0258042X16634568?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Mitchell, Mark L & Mulherin, J Harold, 1994. "The Impact of Public Information on the Stock Market," Journal of Finance, American Finance Association, vol. 49(3), pages 923-950, July.
    2. Amoako-Adu, Ben, 1983. "The Canadian Tax Reform and Its Effect on Stock Prices: A Note," Journal of Finance, American Finance Association, vol. 38(5), pages 1669-1675, December.
    3. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    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. Jeetendra Dangol, 2008. "Unanticipated Political Events and Stock Returns: An Event Study," NRB Economic Review, Nepal Rastra Bank, Research Department, vol. 20, pages 86-110, April.
    2. Alpha Basweti Kenyatta & Antony Ngunyi & Anthony Gichuhi Waititu, 2020. "News Classification using Support Vector Machine to Model and Forecast Volatility," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 9(1), pages 1-1.
    3. Imane El Ouadghiri & Valérie Mignon & Nicolas Boitout, 2016. "On the impact of macroeconomic news surprises on Treasury-bond returns," Annals of Finance, Springer, vol. 12(1), pages 29-53, February.
    4. Jones, Charles M. & Lamont, Owen & Lumsdaine, Robin L., 1998. "Macroeconomic news and bond market volatility," Journal of Financial Economics, Elsevier, vol. 47(3), pages 315-337, March.
    5. Prajwal Eachempati & Praveen Ranjan Srivastava, 2021. "Accounting for unadjusted news sentiment for asset pricing," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 13(3), pages 383-422, May.
    6. Thomas Schuster, 2003. "News Events and Price Movements. Price Effects of Economic and Non-Economic Publications in the News Media," Finance 0305009, University Library of Munich, Germany.
    7. Stefanescu Razvan & Dumitriu Ramona, 2020. "Changes of the Time Intervals Specific to Calendar Anomalies: the Case of TOQ Effect on Bucharest Stock Exchange," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 264-273.
    8. Wang, Kun Tracy & Wang, Wanbin Walter, 2017. "Competition in the stock market with asymmetric information," Economic Modelling, Elsevier, vol. 61(C), pages 40-49.
    9. Bjorn-Christopher Witte, 2010. "Temporal information gaps and market efficiency: a dynamic behavioural analysis," Applied Financial Economics, Taylor & Francis Journals, vol. 20(13), pages 1057-1070.
    10. Charles M. Jones & Owen Lamont & Robin Lumsdaine, 1996. "Public Information and the Persistence of Bond Market Volatility," NBER Working Papers 5446, National Bureau of Economic Research, Inc.
    11. Agarwal, Shweta & Kumar, Shailendra & Goel, Utkarsh, 2019. "Stock market response to information diffusion through internet sources: A literature review," International Journal of Information Management, Elsevier, vol. 45(C), pages 118-131.
    12. Peri, Massimo & Vandone, Daniela & Baldi, Lucia, 2014. "Internet, noise trading and commodity futures prices," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 82-89.
    13. David M. Ritzwoller & Joseph P. Romano, 2019. "Uncertainty in the Hot Hand Fallacy: Detecting Streaky Alternatives to Random Bernoulli Sequences," Papers 1908.01406, arXiv.org, revised Apr 2021.
    14. Shazia Ghani, 2011. "A re-visit to Minsky after 2007 financial meltdown," Post-Print halshs-01027435, HAL.
    15. Steininger, Lea & Hesse, Casimir, 2024. "Buying into new ideas: The ECB’s evolving justification of unlimited liquidity," Department of Economics Working Paper Series 357, WU Vienna University of Economics and Business.
    16. Christiane Goodfellow & Dirk Schiereck & Steffen Wippler, 2013. "Are behavioural finance equity funds a superior investment? A note on fund performance and market efficiency," Journal of Asset Management, Palgrave Macmillan, vol. 14(2), pages 111-119, April.
    17. Cagli, Efe Caglar & Taskin, Dilvin & Evrim Mandaci, Pınar, 2019. "The short- and long-run efficiency of energy, precious metals, and base metals markets: Evidence from the exponential smooth transition autoregressive models," Energy Economics, Elsevier, vol. 84(C).
    18. Andrew Weinbach & Rodney J. Paul, 2009. "National television coverage and the behavioural bias of bettors: the American college football totals market," International Gambling Studies, Taylor & Francis Journals, vol. 9(1), pages 55-66, April.
    19. Plantinga, Andrew J. & Provencher, Bill, 2001. "Internal Consistency In Models Of Optimal Resource Use Under Uncertainty," 2001 Annual meeting, August 5-8, Chicago, IL 20712, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    20. Growitsch Christian & Nepal Rabindra & Stronzik Marcus, 2015. "Price Convergence and Information Efficiency in German Natural Gas Markets," German Economic Review, De Gruyter, vol. 16(1), pages 87-103, February.

    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:sae:manlab:v:40:y:2015:i:3-4:p:239-251. 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: SAGE Publications (email available below). General contact details of provider: http://www.xlri.ac.in/ .

    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.