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Behavioral biases: Analyzes of investment strategies

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F15%3A00084923" target="_blank" >RIV/00216224:14560/15:00084923 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Behavioral biases: Analyzes of investment strategies

  • Original language description

    The study is based on the knowledge of behavioral finance that financial markets are strongly influenced by the psychology of financial markets. Besides investment strategies are affected by behavior of participants of financial markets. By referring topsychology the study proves particular features of investment strategies for presence of behavioral biases. Conducted analyzes shows that each feature of investment strategy inclines to several biases and some biases repeat frequently. The findings of the paper may help to avoid psychological effects on investment strategies, which could be useful especially for investors.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AH - Economics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    In European Financial Systems 2015. Proceedings of the 12th International Scientific Conference

  • ISBN

    9788021079625

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    224-229

  • Publisher name

    Masaryk University

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Jan 1, 2015

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article

    000370679200031