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Asset Management Strategies: Risk and Transaction Costs in Simulation

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F16%3A00010162" target="_blank" >RIV/47813059:19520/16:00010162 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://books.google.com.sg/books?hl=en@lr=lang_en@id=UPVrCgAAQBAJ@oi=fnd@pg=PA17@ots=_YAhY7x5sw@sig=oB3goeN3hW7m9bTuYk5kA82z_z8#v=onepage@q@f=false" target="_blank" >https://books.google.com.sg/books?hl=en@lr=lang_en@id=UPVrCgAAQBAJ@oi=fnd@pg=PA17@ots=_YAhY7x5sw@sig=oB3goeN3hW7m9bTuYk5kA82z_z8#v=onepage@q@f=false</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-21209-8_2" target="_blank" >10.1007/978-3-319-21209-8_2</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Asset Management Strategies: Risk and Transaction Costs in Simulation

  • Popis výsledku v původním jazyce

    In recent years, there has been rising interest in a field called behavioral finance, which incorporates psychological methods in analysing investor behavior. The aim of this paper is to study the technical and the fundamental investing strategy of financial market participants dealing with assets. The motivation of the pre-sented research is to simulate the financial market in the form of agent-based model and to investigate various impacts of risk and transaction costs on its sta-bility. Computational social science involves the use of agent-based modeling and simulation to study complex social systems. It is related to a variety of other sim-ulation techniques, including discrete event simulation and distributed artificial in-telligence or multi-agent systems. In practice, each agent has only partial knowledge of other agents and each agent makes its own decisions based on the partial knowledge about other agents in the system. For purposes of this paper, a multi-agent system will be implemented as a simulation framework in JADE de-velopment platform. The hypothesis was that transaction costs introduction will stabilize the financial market. The results obtained show that in the case of risk involvement into the system the hypothesis can be fulfilled only partially.

  • Název v anglickém jazyce

    Asset Management Strategies: Risk and Transaction Costs in Simulation

  • Popis výsledku anglicky

    In recent years, there has been rising interest in a field called behavioral finance, which incorporates psychological methods in analysing investor behavior. The aim of this paper is to study the technical and the fundamental investing strategy of financial market participants dealing with assets. The motivation of the pre-sented research is to simulate the financial market in the form of agent-based model and to investigate various impacts of risk and transaction costs on its sta-bility. Computational social science involves the use of agent-based modeling and simulation to study complex social systems. It is related to a variety of other sim-ulation techniques, including discrete event simulation and distributed artificial in-telligence or multi-agent systems. In practice, each agent has only partial knowledge of other agents and each agent makes its own decisions based on the partial knowledge about other agents in the system. For purposes of this paper, a multi-agent system will be implemented as a simulation framework in JADE de-velopment platform. The hypothesis was that transaction costs introduction will stabilize the financial market. The results obtained show that in the case of risk involvement into the system the hypothesis can be fulfilled only partially.

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

  • OECD FORD obor

    50204 - Business and management

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2016

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    Smart Innovation, Systems and Technologies. 5th International Conference on Intelligent Decision Technologies.

  • ISBN

    978-3-319-21208-1

  • ISSN

  • e-ISSN

  • Počet stran výsledku

    14

  • Strana od-do

    17-30

  • Název nakladatele

    Springer Science and Business Media Deutschland GmbH

  • Místo vydání

    Switzerland

  • Místo konání akce

    Sesimbra

  • Datum konání akce

    26. 6. 2013

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku