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Soft computing as a tool to optimize an investment portfolio

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F11%3APU94943" target="_blank" >RIV/00216305:26510/11:PU94943 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Soft computing as a tool to optimize an investment portfolio

  • Original language description

    The paper describes the creation and application of an investment portfolio. Main aim of the paper is to perform statistical analysis of selected financial instruments and to find a connection between the input data. Authors use application Adaptrade from the Adaptrade software company which is based on genetic algorithms basis and is able to process this difficult task in real time. The case analysis is performed for three world currencies - U. S. dollar, Canadian dollar and Swiss franc. Statistical analysis was performed specifically on the currency couple USD: CAD and USD:CHF. The input data consists of time series, which records the progress of prices of the financial instruments with a period of 15 minutes continuously from Monday 00:00 to Friday23:00 for the period 2.1.2009 ? 14.3.2011.

  • Czech name

  • Czech description

Classification

  • Type

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

  • CEP classification

    AE - Management, administration and clerical work

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

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

    Intellectual Economics

  • ISSN

    1822-8011

  • e-ISSN

  • Volume of the periodical

    5

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    LT - LITHUANIA

  • Number of pages

    11

  • Pages from-to

    359-370

  • UT code for WoS article

  • EID of the result in the Scopus database