Models and Methods of Identification of Threats Related to the Uncontrollability of Capital Flows

  • Gennady RossEmail author
  • Valery KonyavskyEmail author
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 78)


We have formulated and formalized the task of managing capital flows in order to identify threats to economic agents (EA). The class of capital which a particular EA operates has been determined. It has been shown that some of the threats to economic agents are due to the fact that capital flows can be illegal and pursue illegal goals: legalization of capital acquired by illegal means (money laundering), withdrawal of money through offshore companies, and financing of terrorism. The characteristics of business transparency and financial attractiveness of EA, as well as methodical approaches to assessing the transparency of their activities have been identified.


Financial and economic security Capital flow control The theory of equilibrium random processes Evolutionary-simulation methodology The decision support system 


  1. 1.
    Abalkin, L., et al.: Russia’s economic security: threats and their reflection. Questions of the economy (1994). N 12Google Scholar
  2. 2.
    Burtsev, V.V.: Factors of financial security of Russia. Management in Russia and abroad (2001). N 1Google Scholar
  3. 3.
    Kaurova, N.N.: Financial and economic security in the conditions of openness of the national economy (theoretical and methodological aspect), Moscow (2013) Google Scholar
  4. 4.
    Senchagov, V.K.: Economic Security of Russia, 2nd edn. Moscow (2010) Google Scholar
  5. 5.
    Liechtenstein, V.E., Ross, G.V.: Equilibrium random processes: theory, practice, info business. Finance and Statistics, p. 423 (2015)Google Scholar
  6. 6.
    Avdiysky, V.I., Bezdenezhny, V.M., Liechtenstein V.E., Ross, G.V.: Economic justice and security of economic agents. Finance and Statistics, p. 272. Moscow (2016)Google Scholar
  7. 7.
    Liechtenstein, L., Ross, G.: Management of financial bubbles as control technology of digital economy. In: Antipova, T., Rocha, Á. (eds.) Information Technology Science, MOSITS 2017. Advances in Intelligent Systems and Computing, vol. 724. Springer, Cham (2018)Google Scholar
  8. 8.
    Ross, G.V.: Modeling of Production and Socio-Economic Systems Using the Apparatus of Combinatorial Mathematics, p. 303. Moscow, Mir (2001)Google Scholar
  9. 9.
    Zolotarev, E.V.: Improving the system of combating money laundering and control mechanisms in credit institution. PhD Thesis, Moscow (2014)Google Scholar
  10. 10.
    Information letter of Rosfinmonitoring dated 23.11.2018 No. 56 “On methodological recommendations for review by audit organizations and individual auditors when providing audit services to the risks of legalization (laundering) of criminally obtained income and financing of terrorism” (ML / FT Risks).

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Financial UniversityMoscowRussia
  2. 2.Plekhanov Russian University of EconomicsMoscowRussia

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