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Using Mathematical Models for Analysis and Prediction of Payment Systems Behavior

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Proceedings of Fifth International Congress on Information and Communication Technology (ICICT 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1183))

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Abstract

This research focuses on the behavior of isolated payment systems. Our previous analysis of the isolated ‘consumer-to-business’ (C2B) and ‘peer-to-peer’ (P2P) payment systems has shown that their behavior can be analyzed using modifications of the Bass equations. In this paper, this approach is extended to the analysis to `hybrid' payment systems with both C2B and P2P functionality using Ricatti equations. We derived universal solution which contains previously obtained C2B and P2P solutions as particular cases. The results are illustrated by analytical solutions for different system parameters and practical examples.

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Author information

Authors and Affiliations

  1. Saint-Petersburg State University, St. Petersburg, Russia

    Victor Dostov & Pavel Shust

  2. Russian Electronic Money and Remittance Association, Moscow, Russia

    Victor Dostov & Pavel Shust

  3. Financial University Under the Government of the Russian Federation, Moscow, Russia

    Svetlana Krivoruchko

Authors
  1. Victor Dostov
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  2. Pavel Shust
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  3. Svetlana Krivoruchko
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Corresponding author

Correspondence to Victor Dostov .

Editor information

Editors and Affiliations

  1. School of Science and Technology, Middlesex University, London, UK

    Xin-She Yang

  2. Department of Biomedical Engineering, The University of Reading, Reading, UK

    R Simon Sherratt

  3. Department of Information Technology, Techno India Institute of Technology, Kolkata, West Bengal, India

    Nilanjan Dey

  4. Global Knowledge Research Foundation, Ahmedabad, India

    Amit Joshi

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Dostov, V., Shust, P., Krivoruchko, S. (2021). Using Mathematical Models for Analysis and Prediction of Payment Systems Behavior. In: Yang, XS., Sherratt, R.S., Dey, N., Joshi, A. (eds) Proceedings of Fifth International Congress on Information and Communication Technology. ICICT 2020. Advances in Intelligent Systems and Computing, vol 1183. Springer, Singapore. https://doi.org/10.1007/978-981-15-5856-6_58

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  • DOI: https://doi.org/10.1007/978-981-15-5856-6_58

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5855-9

  • Online ISBN: 978-981-15-5856-6

  • eBook Packages: EngineeringEngineering (R0)

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