IDEAS home Printed from https://ideas.repec.org/a/aid/journl/v3y2020i2p25-42.html
   My bibliography  Save this article

Money Leaks in Banking ATM’s Cash-Management Systems

Author

Listed:
  • Julia García Cabello

    (University of Granada, Granada, Spain)

Abstract

Some widely-accepted practices on banking ATM networks may negatively affect efficient liquidity management. This paper analyses ATM cash management in light of empirical evidence which suggests that banking ATMs tend to be overloaded beyond the customer’s needs. This, in turn, results in high opportunity costs. While this is not perceived by banks as particularly harmful, it might have a damaging impact on other business which revolves exclusively around ATM networks, such as cashback sites. A dormant money case may be solved­­ by an appropriate tool matching the ATM’s cash to the user’s needs. Supported by a large database of banking records, this paper also provides model validation for a set of theorems previously developed by the author, resulting here in a cutting-edge, reliable forecasting system, suitable for anticipating ATMs cash demand as well as coupling with other supply chain planning processes.

Suggested Citation

  • Julia García Cabello, 2020. "Money Leaks in Banking ATM’s Cash-Management Systems," Virtual Economics, The London Academy of Science and Business, vol. 3(2), pages 25-42, April.
  • Handle: RePEc:aid:journl:v:3:y:2020:i:2:p:25-42
    DOI: 10.34021/ve.2020.03.02(2)
    as

    Download full text from publisher

    File URL: https://virtual-economics.eu/index.php/VE/article/download/55/47
    Download Restriction: no

    File URL: https://libkey.io/10.34021/ve.2020.03.02(2)?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Douglas W. Diamond & Raghuram G. Rajan, 2011. "Fear of Fire Sales, Illiquidity Seeking, and Credit Freezes," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(2), pages 557-591.
    2. A S Camanho & R G Dyson, 1999. "Efficiency, size, benchmarks and targets for bank branches: an application of data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(9), pages 903-915, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Roberto Piazza, 2015. "Financial innovation and risk: the role of information," Annals of Finance, Springer, vol. 11(3), pages 477-502, November.
    2. Kurz, Michael & Kleimeier, Stefanie, 2019. "Credit Supply: Are there negative spillovers from banks’ proprietary trading? (RM/19/005-revised-)," Research Memorandum 026, Maastricht University, Graduate School of Business and Economics (GSBE).
    3. Shi‐wan Lou & Yiwen Yang & Chu‐wei Tseng, 2021. "Data envelopment analysis based assessment of human resource management strategy in the banking industry: A case study of a well‐known Taiwanese Bank," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(5), pages 1172-1182, July.
    4. Nicole Boyson & Jean Helwege & Jan Jindra, 2014. "Crises, Liquidity Shocks, and Fire Sales at Commercial Banks," Financial Management, Financial Management Association International, vol. 43(4), pages 857-884, December.
    5. S. Gabrieli & C.-P. Georg, 2014. "A network view on interbank market freezes," Working papers 531, Banque de France.
    6. Suarez, Javier & Sánchez Serrano, Antonio, 2018. "Approaching non-performing loans from a macroprudential angle," Report of the Advisory Scientific Committee 7, European Systemic Risk Board.
    7. Armstrong, Christopher & Nicoletti, Allison & Zhou, Frank S., 2022. "Executive stock options and systemic risk," Journal of Financial Economics, Elsevier, vol. 146(1), pages 256-276.
    8. Koijen, Ralph S.J. & Koulischer, François & Nguyen, Benoît & Yogo, Motohiro, 2021. "Inspecting the mechanism of quantitative easing in the euro area," Journal of Financial Economics, Elsevier, vol. 140(1), pages 1-20.
    9. Ramadiah, Amanah & Caccioli, Fabio & Fricke, Daniel, 2020. "Reconstructing and stress testing credit networks," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
    10. Zhiguo He & Gregor Matvos, 2016. "Debt and Creative Destruction: Why Could Subsidizing Corporate Debt Be Optimal?," Management Science, INFORMS, vol. 62(2), pages 303-325, February.
    11. Camanho, A. S. & Dyson, R. G., 2005. "Cost efficiency measurement with price uncertainty: a DEA application to bank branch assessments," European Journal of Operational Research, Elsevier, vol. 161(2), pages 432-446, March.
    12. Viral V. Acharya & Hyun Song Shin & Tanju Yorulmazer, 2013. "A Theory of Arbitrage Capital," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 2(1), pages 62-97.
    13. Subhash C. Ray & Abhiman Das & Kankana Mukherjee, 2018. "Measures of Labor Use Efficiency from a Cost-Based Dual Representation of the Technology: A Study of Indian Bank Branches," Working papers 2018-17, University of Connecticut, Department of Economics.
    14. Elena Carletti & Agnese Leonello, 2019. "Credit Market Competition and Liquidity Crises," Review of Finance, European Finance Association, vol. 23(5), pages 855-892.
    15. Miguel Faria-e-Castro & Joseba Martinez & Thomas Philippon, 2017. "Runs versus Lemons: Information Disclosure and Fiscal Capacity," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(4), pages 1683-1707.
    16. Hryckiewicz, Aneta & Kozłowski, Łukasz, 2017. "Banking business models and the nature of financial crisis," Journal of International Money and Finance, Elsevier, vol. 71(C), pages 1-24.
    17. Viral Acharya & Itamar Drechsler & Philipp Schnabl, 2014. "A Pyrrhic Victory? Bank Bailouts and Sovereign Credit Risk," Journal of Finance, American Finance Association, vol. 69(6), pages 2689-2739, December.
    18. Gabrielle Demange, 2018. "Contagion in Financial Networks: A Threat Index," Management Science, INFORMS, vol. 64(2), pages 955-970, February.
    19. Mei Li & Frank Milne & Junfeng Qiu, 2016. "Uncertainty in an Interconnected Financial System, Contagion, and Market Freezes," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(6), pages 1135-1168, September.
    20. Joel Shapiro & Jing Zeng, 2024. "Stress Testing and Bank Lending," The Review of Financial Studies, Society for Financial Studies, vol. 37(4), pages 1265-1314.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aid:journl:v:3:y:2020:i:2:p:25-42. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Aleksy Kwilinski (email available below). General contact details of provider: https://edirc.repec.org/data/akwilin.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.