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Possible approaches to applying the AML process in the banking sector

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F26138077%3A_____%2F13%3A%230000347" target="_blank" >RIV/26138077:_____/13:#0000347 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Possible approaches to applying the AML process in the banking sector

  • Original language description

    The presented paper will not deal with the general characteristics of the fight against money laundering; instead, it will characterize selected issues related to detecting attempts at legalizing the proceeds of crime within the banking sector in the Czech Republic, a country located in the heart of Europe.

  • 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

    <a href="/en/project/VG20122014087" target="_blank" >VG20122014087: Increasing the effectiveness of policies and proceedings to detect money laundering and suppression of criminal structures financing in the sector of financial services providers</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Annual Proceedings of the National Business and Economics Society

  • ISSN

    2151-3333

  • e-ISSN

  • Volume of the periodical

  • Issue of the periodical within the volume

    2012

  • Country of publishing house

    GR - GREECE

  • Number of pages

    17

  • Pages from-to

  • UT code for WoS article

  • EID of the result in the Scopus database