IDEAS home Printed from https://ideas.repec.org/a/vrs/finiqu/v13y2017i4p1-13n12.html
   My bibliography  Save this article

Information needs of financial market professionals in the big data and social media era. The empirical evidence from Poland

Author

Listed:
  • Cwynar Andrzej

    (University of Economics and Innovation, Lublin, Poland)

  • Cwynar Wiktor

    (University of Economics and Innovation, Lublin, Poland.)

  • Pater Robert

    (University of Information Technology and Management, Rzeszów, Poland.)

  • Kaźmierkiewicz Piotr

    (CDM Pekao SA Securities.)

Abstract

To meet general objectives of the article, i.e. to check the extent to which the information needs of financial market institutions are satisfied, and to learn about whether there is a transition in this realm triggered by the advent of social media and big data, we surveyed a sample of 415 financial market professionals working in Poland. We also used logit regression models, through which we processed the survey results, to identify which factors are responsible for meeting the needs. We showed that although the information needs of financial market professionals are met to a large degree, still some potential for improvement remains in this regard. We found also that respondent-specific traits are insignificant in explaining the degree of satisfaction with data and information that is used by financial market professionals. Out of firm-specific characteristic and, the value of assets under the institution’s management turned out to be the key factors explaining the distribution of responses concerning satisfaction.

Suggested Citation

  • Cwynar Andrzej & Cwynar Wiktor & Pater Robert & Kaźmierkiewicz Piotr, 2017. "Information needs of financial market professionals in the big data and social media era. The empirical evidence from Poland," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 13(4), pages 1-13, December.
  • Handle: RePEc:vrs:finiqu:v:13:y:2017:i:4:p:1-13:n:12
    DOI: 10.1515/fiqf-2016-0031
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/fiqf-2016-0031
    Download Restriction: no

    File URL: https://libkey.io/10.1515/fiqf-2016-0031?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. Liran Einav & Jonathan Levin, 2014. "The Data Revolution and Economic Analysis," Innovation Policy and the Economy, University of Chicago Press, vol. 14(1), pages 1-24.
    2. Bai, Jennie & Philippon, Thomas & Savov, Alexi, 2016. "Have financial markets become more informative?," Journal of Financial Economics, Elsevier, vol. 122(3), pages 625-654.
    3. Robert J. Shiller, 1984. "Stock Prices and Social Dynamics," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 15(2), pages 457-510.
    4. Levine, Ross, 2005. "Finance and Growth: Theory and Evidence," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 12, pages 865-934, Elsevier.
    5. Flood, Mark D. & Lemieux, Victoria L. & Varga, Margaret & William Wong, B.L., 2016. "The application of visual analytics to financial stability monitoring," Journal of Financial Stability, Elsevier, vol. 27(C), pages 180-197.
    6. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    7. 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. Alexander S. Sangare, 2005. "Efficience des marchés : un siècle après Bachelier," Revue d'Économie Financière, Programme National Persée, vol. 81(4), pages 107-132.
    2. de Resende, Charlene C. & Pereira, Adriano C.M. & Cardoso, Rodrigo T.N. & de Magalhães, A.R. Bosco, 2017. "Investigating market efficiency through a forecasting model based on differential equations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 474(C), pages 199-212.
    3. Liang, Pinghan & Guo, Shiqi, 2015. "Social interaction, Internet access and stock market participation—An empirical study in China," Journal of Comparative Economics, Elsevier, vol. 43(4), pages 883-901.
    4. Fonseca, Carla L.G. & de Resende, Charlene C. & Fernandes, Danilo H.C. & Cardoso, Rodrigo T.N. & de Magalhães, A.R. Bosco, 2021. "Is the choice of the candlestick dimension relevant in econophysics?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    5. Garcia, M.M. & Machado Pereira, A.C. & Acebal, J.L. & Bosco de Magalhães, A.R., 2020. "Forecast model for financial time series: An approach based on harmonic oscillators," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    6. Fernando Rubio, 2005. "Eficiencia De Mercado, Administracion De Carteras De Fondos Y Behavioural Finance," Finance 0503028, University Library of Munich, Germany, revised 23 Jul 2005.
    7. Eduard Marinov, 2017. "The 2017 Nobel Prize in Economics," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 6, pages 117-159.
    8. Committee, Nobel Prize, 2017. "Richard H. Thaler: Integrating Economics with Psychology," Nobel Prize in Economics documents 2017-1, Nobel Prize Committee.
    9. Committee, Nobel Prize, 2013. "Understanding Asset Prices," Nobel Prize in Economics documents 2013-1, Nobel Prize Committee.
    10. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    11. Loann David Denis Desboulets, 2017. "Co-movements in Market Prices and Fundamentals: A Semiparametric Multivariate GARCH Approach," Working Papers halshs-02059302, HAL.
    12. Asif, Raheel & Frömmel, Michael, 2022. "Testing Long memory in exchange rates and its implications for the adaptive market hypothesis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    13. Yu-Hong Liu & Syuan-Rong Dai & Fu-Min Chang & Yih-Bey Lin & Nicholas Rueilin Lee, 2020. "Does the Investor Sentiment Affect the Stock Returns in Taiwan’s Stock Market under Different Market States?," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 10(5), pages 1-3.
    14. Soufian, Mona & Forbes, William & Hudson, Robert, 2014. "Adapting financial rationality: Is a new paradigm emerging?," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 25(8), pages 724-742.
    15. 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.
    16. Amrei Lahno & Marta Serra-Garcia, 2015. "Peer effects in risk taking: Envy or conformity?," Journal of Risk and Uncertainty, Springer, vol. 50(1), pages 73-95, February.
    17. Klodt, Henning & Lehment, Harmen (ed.), 2009. "The Crisis and Beyond," Kiel E-Books, Kiel Institute for the World Economy (IfW Kiel), number 60981.
    18. David Peón & Anxo Calvo, 2012. "Using Behavioral Economics to Analyze Credit Policies in the Banking Industry," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 145-160.
    19. Dilger, Alexander, 2022. "Der Zufall in den Wirtschaftswissenschaften," Discussion Papers of the Institute for Organisational Economics 5/2022, University of Münster, Institute for Organisational Economics.
    20. Lahno, Amrei M. & Serra-Garcia, Marta, 2012. "Peer Effects in Risk Taking," Discussion Papers in Economics 14309, University of Munich, Department of Economics.

    More about this item

    Keywords

    financial market professionals; information needs; big data; social media; financial institutions;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage

    Statistics

    Access and download statistics

    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:vrs:finiqu:v:13:y:2017:i:4:p:1-13:n:12. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.