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Tytuł artykułu

Looking for big money in the grey zone. Simulation of high yield investment programs strategies

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Języki publikacji
EN
Abstrakty
EN
High Yield Investment Programs (HYIPs) are online versions of a Ponzi scheme, a fraud that offers extremely high interest rates to attract investors – and pays them up to the moment when HYIP owner decides to run away with the money accumulated in the account. This article presents a simulation focused on the connections between investments in appealing websites, advertising, and run- away strategies to explore and describe one of the grey zone areas. The model is based to a large extent on real-life data acquired from HYIP monitors. In this paper, we have proven that advertising and layout have a great impact on an HYIP’s balance. Moreover, most HYIPs are capable of gaining similar balance; however, there are also conservative strategies that significantly reduce profits.
Słowa kluczowe
Wydawca
Czasopismo
Rocznik
Strony
237--251
Opis fizyczny
Bibliogr. 14 poz., rys.
Twórcy
autor
  • Polish-Japanese Academy of Information Technology, Warsaw, Poland
autor
  • Polish-Japanese Academy of Information Technology, Warsaw, Poland
autor
  • Polish-Japanese Academy of Information Technology, Warsaw, Poland
autor
  • Polish-Japanese Academy of Information Technology, Warsaw, Poland
Bibliografia
  • [1] Anderson R., Barton C., B ̈ohme R., Clayton R., van Eeten M., Levi M., Moore T., Savage S.: Measuring the Cost of Cybercrime. In: WEIS , 2012.
  • [2] Axelrod R.: Simulation in the social sciences. Handbook of research on nature inspired computing for economy and management , pp. 90–100, 2007, IGI Global, Pensylvania, USA.
  • [3] Bandini S., Manzoni S., Vizzari G.: Agent Based Modeling and Simulation: An Informatics Perspective. Journal of Artificial Societies and Social Simulation , vol. 12(4), p. 4, 2009, http://jasss.soc.surrey.ac.uk/12/4/4.html .
  • [4] Borzymek P., Sydow M., Wierzbicki A.: Enriching trust prediction model in social network with user rating similarity. In: Computational Aspects of Social Networks, 2009. CASON’09. International Conference on , pp. 40–47, IEEE, 2009.
  • [5] Epstein J. M.: Why Model? Journal of Artificial Societies and Social Simulation , vol. 11(4), p. 12, 2008, http://jasss.soc.surrey.ac.uk/11/4/12.html .
  • [6] Fogg B. J.: Prominence-interpretation theory: explaining how people assess credibility online. In: G. Cockton, P. Korhonen, eds., CHI Extended Ab- stracts , pp. 722–723, ACM, 2003, http://dblp.uni-trier.de/db/conf/chi/ chi2003a.html#Fogg03 .
  • [7] Hewitt J., Carlson J.: Securities Practice and Electronic Technology . Corporate Securities Series, ALM Media Properties, LLC, 2014, http://books.google. pl/books?id=nFx\_DR9D3v4C .
  • [8] Kaszuba T., Hupa A., Wierzbicki A.: Advanced feedback management for internet auction reputation systems. Internet Computing, IEEE , vol. 14(5), pp. 31–37, 2010.
  • [9] Moore T., Clayton R., Anderson R.: The Economics of Online Crime. The Journal of Economic Perspectives , pp. 3–20, 2009.
  • [10] Moore T., Han J., Clayton R.: The Postmodern Ponzi Scheme: Empirical Analysis of High-Yield Investment Programs. In: A. Keromytis, ed., Financial Cryptography and Data Security , Lecture Notes in Computer Science , vol. 7397, pp. 41–56, Springer, Berlin, Heidelberg, 2012, http://dx.doi.org/10.1007/ 978-3-642-32946-3_4
  • [11] Morzy M., Wierzbicki A.: The Sound of Silence: Mining Implicit Feedbacks to Compute Reputation. In: P. Spirakis, M. Mavronicolas, S. Kontogiannis, eds, Internet and Network Economics , Lecture Notes in Computer Science , vol. 4286, pp. 365–376, Springer, Berlin, Heidelberg, 2006, http://dx.doi.org/10.1007/ 11944874_33 .
  • [12] Mullan P.: The Digital Currency Challenge: Shaping Online Payment Systems Through US Financial Regulations . Palgrave Macmillan, 2014, London, UK.
  • [13] Pierson G.: The Trust Factor . eBookIt, com, 2013.
  • [14] Wierzbicki A.: The case for fairness of trust management. Electronic Notes in Theoretical Computer Science , vol. 197(2), pp. 73–89, 2008
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7dbb9564-2c35-4969-b0af-3fa67c98f2fe
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