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Twitter Permeability to financial events: an experiment towards a model for sensing irregularities

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Listed:
  • Ana Fern'andez Vilas
  • Rebeca P. D'iaz Redondo
  • Keeley Crockett
  • Majdi Owda
  • Lewis Evans

Abstract

There is a general consensus of the good sensing and novelty characteristics of Twitter as an information media for the complex financial market. This paper investigates the permeability of Twittersphere, the total universe of Twitter users and their habits, towards relevant events in the financial market. Analysis shows that a general purpose social media is permeable to financial-specific events and establishes Twitter as a relevant feeder for taking decisions regarding the financial market and event fraudulent activities in that market. However, the provenance of contributions, their different levels of credibility and quality and even the purpose or intention behind them should to be considered and carefully contemplated if Twitter is used as a single source for decision taking. With the overall aim of this research, to deploy an architecture for real-time monitoring of irregularities in the financial market, this paper conducts a series of experiments on the level of permeability and the permeable features of Twitter in the event of one of these irregularities. To be precise, Twitter data is collected concerning an event comprising of a specific financial action on the 27th January 2017:{~ }the announcement about the merge of two companies Tesco PLC and Booker Group PLC, listed in the main market of the London Stock Exchange (LSE), to create the UK's Leading Food Business. The experiment attempts to answer five key research questions which aim to characterize the features of Twitter permeability to the financial market. The experimental results confirm that a far-impacting financial event, such as the merger considered, caused apparent disturbances in all the features considered, that is, information volume, content and sentiment as well as geographical provenance. Analysis shows that despite, Twitter not being a specific financial forum, it is permeable to financial events.

Suggested Citation

  • Ana Fern'andez Vilas & Rebeca P. D'iaz Redondo & Keeley Crockett & Majdi Owda & Lewis Evans, 2023. "Twitter Permeability to financial events: an experiment towards a model for sensing irregularities," Papers 2312.11530, arXiv.org.
    • Handle: RePEc:arx:papers:2312.11530
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    References listed on IDEAS

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    1. Feng Xiong & Kim MacKenzie, 2015. "The business use of Twitter by Australian listed companies," Journal of Developing Areas, Tennessee State University, College of Business, vol. 49(6), pages 421-428, Special I.
    2. Gregory S. Miller & Douglas J. Skinner, 2015. "The Evolving Disclosure Landscape: How Changes in Technology, the Media, and Capital Markets Are Affecting Disclosure," Journal of Accounting Research, Wiley Blackwell, vol. 53(2), pages 221-239, May.
    3. Ali Tafti & Ryan Zotti & Wolfgang Jank, 2016. "Real-Time Diffusion of Information on Twitter and the Financial Markets," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-16, August.
    4. Gabriele Ranco & Darko Aleksovski & Guido Caldarelli & Miha Grčar & Igor Mozetič, 2015. "The Effects of Twitter Sentiment on Stock Price Returns," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-21, September.
    5. Zheludev, Ilya & Smith, Robert & Aste, Tomaso, 2014. "When can social media lead financial markets?," LSE Research Online Documents on Economics 57376, London School of Economics and Political Science, LSE Library.
    6. Timm O. Sprenger & Andranik Tumasjan & Philipp G. Sandner & Isabell M. Welpe, 2014. "Tweets and Trades: the Information Content of Stock Microblogs," European Financial Management, European Financial Management Association, vol. 20(5), pages 926-957, November.
    7. Feng Xiong & Kim MacKenzie, 2015. "The business use of Twitter by Australian listed companies," Journal of Developing Areas, Tennessee State University, College of Business, vol. 49(5), pages 421-428, Special I.
    8. Billett, Matthew T. & Yu, Miaomiao, 2016. "Asymmetric Information, Financial Reporting, and Open-Market Share Repurchases," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 51(4), pages 1165-1192, August.
    9. Sanjiv Sabherwal & Salil K. Sarkar & Ying Zhang, 2011. "Do Internet Stock Message Boards Influence Trading? Evidence from Heavily Discussed Stocks with No Fundamental News," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 38(9-10), pages 1209-1237, November.
    10. repec:bla:jfinan:v:59:y:2004:i:3:p:1259-1294 is not listed on IDEAS
    11. Bart Hobijn & Boyan Jovanovic, 2001. "The Information-Technology Revolution and the Stock Market: Evidence," American Economic Review, American Economic Association, vol. 91(5), pages 1203-1220, December.
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