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Identification and Case Analysis of Credit Card Personal Cash out Based on Time Series

In: Proceedings of the 2023 International Conference on Finance, Trade and Business Management (FTBM 2023)

Author

Listed:
  • Zhang Liwen

    (Lingnan College, Sun Yat-sen University)

  • Zhang Jingwen

    (Lingnan College, Sun Yat-sen University)

  • Yuan Ye

    (Lingnan College, Sun Yat-sen University)

  • Liu Jiaqi

    (Lingnan College, Sun Yat-sen University)

Abstract

This paper analyzes the basic situation of credit card cash out and the new way of personal credit card cash out, and proposed a new identification method of the cash out by the model of capital occupancy efficiency through analyzing the time series of the daily total consumption amount. The case is analyzed with this recognition method and the analyzing result shows that the recognition of personal credit card cash out is accurate. The research above has practical significance for strengthening the supervision of credit card and preventing credit card risks.

Suggested Citation

  • Zhang Liwen & Zhang Jingwen & Yuan Ye & Liu Jiaqi, 2023. "Identification and Case Analysis of Credit Card Personal Cash out Based on Time Series," Advances in Economics, Business and Management Research, in: Amalendu Bhunia & Rubi Binti Ahmad & Yifeng Zhu (ed.), Proceedings of the 2023 International Conference on Finance, Trade and Business Management (FTBM 2023), pages 588-595, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-298-9_64
    DOI: 10.2991/978-94-6463-298-9_64
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