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Information, Sentiment, and Price in a Fast Order-Driven Market

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F11%3A00366294" target="_blank" >RIV/67985556:_____/11:00366294 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Information, Sentiment, and Price in a Fast Order-Driven Market

  • Original language description

    An order-driven market is modeled in which many traders with heterogeneous private values and information submit limit and market orders simultaneously. Order execution is partially random. There may be a bias in the traders? prior beliefs (?market sentiment). In this environment, although market buys and sells depend monotonically on the degree of bullish sentiment, market order flows are in a non-monotonous relationship with the proportion of high private value traders (bulls). Additionally, sentimenthas a stronger effect on volume and net direction of trades leading to a given central price, than the actual distribution of private values.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    AH - Economics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    IUP Journal of Financial Risk Management

  • ISSN

    0972-916X

  • e-ISSN

  • Volume of the periodical

    8

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    IN - INDIA

  • Number of pages

    33

  • Pages from-to

    43-75

  • UT code for WoS article

  • EID of the result in the Scopus database