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Social media big data and capital markets-An overview

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F16%3A43909952" target="_blank" >RIV/62156489:43110/16:43909952 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.jbef.2016.06.002" target="_blank" >http://dx.doi.org/10.1016/j.jbef.2016.06.002</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.jbef.2016.06.002" target="_blank" >10.1016/j.jbef.2016.06.002</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Social media big data and capital markets-An overview

  • Original language description

    A growing body of research and practical applications employ social media data as the proxy for a complex behavior of a society. This paper provides an overview of academic research related to a link between social media and capital markets. The theoretical rationale of this relationship is predominantly defined by behavioral finance. Behavioral finance augments the standard model of efficient markets and considers less rational factors like investors&apos; sentiment or public mood as influential for asset pricing and capital market volatility. In this context, social media is a novel tool enabling the collection of data about such less rational factors at the level of a society. The paper introduces social media data from a technical and economic point of view. In addition, it contributes to the theoretical construction of the transmission mechanism between social media and capital markets currently missing in the literature. Subsequently, the paper summarizes the main findings in this field and outlines future challenges in this research.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

    <a href="/en/project/GA16-26353S" target="_blank" >GA16-26353S: Sentiment and its impact on stock markets</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Behavioral and Experimental Finance

  • ISSN

    2214-6350

  • e-ISSN

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    September

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    9

  • Pages from-to

    18-26

  • UT code for WoS article

    000388016100004

  • EID of the result in the Scopus database

    2-s2.0-84977151254