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Heterogeneous Agent Model with Memory and Asset Price Behaviour.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F03%3A16030064" target="_blank" >RIV/67985556:_____/03:16030064 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11230/03:00009732

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Heterogeneous Agent Model with Memory and Asset Price Behaviour.

  • Original language description

    The efficient markets hypothesis provides a theoretical basis on which technical trading rules (TTRs) are rejected as a viable trading strategy. TTs, providing a signal to the user when to buy or sell asset based on such price patterns, should not be useful for generating excess returns. Technical traders tend to put little faith in strict efficient markets hypothesis.

  • 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

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2003

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Prague Economic Papers

  • ISSN

    1210-0455

  • e-ISSN

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    14

  • Pages from-to

    155-168

  • UT code for WoS article

  • EID of the result in the Scopus database