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Pareto improvement and joint cash management optimisation for banks and cash-in-transit firms

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  • Ágoston, Kolos Cs.
  • Benedek, Gábor
  • Gilányi, Zsolt

Abstract

Improving the ATM cash management techniques of banks has already received significant attention in the literature as a separate optimisation problem for banks and the independent firms that supply cash to automated teller machines. This article concentrates instead on a further possibility of cost reduction: optimising the cash management problem as one single problem. Doing so, contractual prices between banks and the cash in transit firms can be in general modified allowing for further cost reduction relative to individual optimisations. In order to show the pertinence of this procedure, we have determined possible Pareto-improvement re-contracting schemes based on a Baumol-type cash demand forecast for a Hungarian commercial bank resulting in substantial cost reduction.

Suggested Citation

  • Ágoston, Kolos Cs. & Benedek, Gábor & Gilányi, Zsolt, 2016. "Pareto improvement and joint cash management optimisation for banks and cash-in-transit firms," European Journal of Operational Research, Elsevier, vol. 254(3), pages 1074-1082.
  • Handle: RePEc:eee:ejores:v:254:y:2016:i:3:p:1074-1082
    DOI: 10.1016/j.ejor.2016.04.045
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    References listed on IDEAS

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    1. Merton H. Miller & Daniel Orr, 1966. "A Model of the Demand for Money by Firms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 80(3), pages 413-435.
    2. Bar-Ilan, Avner & Perry, David & Stadje, Wolfgang, 2004. "A generalized impulse control model of cash management," Journal of Economic Dynamics and Control, Elsevier, vol. 28(6), pages 1013-1033, March.
    3. William J. Baumol, 1952. "The Transactions Demand for Cash: An Inventory Theoretic Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 66(4), pages 545-556.
    4. Teddy, S.D. & Ng, S.K., 2011. "Forecasting ATM cash demands using a local learning model of cerebellar associative memory network," International Journal of Forecasting, Elsevier, vol. 27(3), pages 760-776, July.
    5. Endre Bjørndal & Herbert Hamers & Maurice Koster, 2004. "Cost allocation in a bank ATM network," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 59(3), pages 405-418, July.
    6. Joanna Stavins, 2000. "ATM fees: does bank size matter?," New England Economic Review, Federal Reserve Bank of Boston, issue Jan, pages 13-24.
    7. de Haan, Leo & van den End, Jan Willem, 2013. "Bank liquidity, the maturity ladder, and regulation," Journal of Banking & Finance, Elsevier, vol. 37(10), pages 3930-3950.
    8. Batlin, Carl Alan & Hinko, Susan, 1982. "A Game Theoretic Approach to Cash Management," The Journal of Business, University of Chicago Press, vol. 55(3), pages 367-381, July.
    9. Teddy, S.D. & Ng, S.K., 2011. "Forecasting ATM cash demands using a local learning model of cerebellar associative memory network," International Journal of Forecasting, Elsevier, vol. 27(3), pages 760-776.
    10. Venkatesh, Kamini & Ravi, Vadlamani & Prinzie, Anita & Poel, Dirk Van den, 2014. "Cash demand forecasting in ATMs by clustering and neural networks," European Journal of Operational Research, Elsevier, vol. 232(2), pages 383-392.
    11. Heli Snellman & Matti Viren, 2009. "ATM networks and cash usage," Applied Financial Economics, Taylor & Francis Journals, vol. 19(10), pages 841-851.
    12. Hinderer, K. & Waldmann, K. -H., 2001. "Cash management in a randomly varying environment," European Journal of Operational Research, Elsevier, vol. 130(3), pages 468-485, May.
    13. Yao, Jing-Shing & Chen, Miao-Sheng & Lu, Huei-Fu, 2006. "A fuzzy stochastic single-period model for cash management," European Journal of Operational Research, Elsevier, vol. 170(1), pages 72-90, April.
    14. Pokutta, Sebastian & Schmaltz, Christian, 2011. "Managing liquidity: Optimal degree of centralization," Journal of Banking & Finance, Elsevier, vol. 35(3), pages 627-638, March.
    15. Daniel P. Heyman, 1973. "A Model for Cash Balance Management," Management Science, INFORMS, vol. 19(12), pages 1407-1413, August.
    16. Virgil Popa, 2013. "The Financial Supply Chain Management: a New Solution for Supply Chain Resilience," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 15(33), pages 140-153, February.
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    Cited by:

    1. Lance Decker & Ben Zoghi, 2023. "The Case for RFID-Enabled Traceability in Cash Movements," FinTech, MDPI, vol. 2(2), pages 1-30, June.
    2. Nguyen, Tri-Dung, 2024. "Game of banks - biform game theoretical framework for ATM network cost sharing," European Journal of Operational Research, Elsevier, vol. 316(3), pages 1158-1178.
    3. Yeliz Ekinci & Nicoleta Serban & Ekrem Duman, 2021. "Optimal ATM replenishment policies under demand uncertainty," Operational Research, Springer, vol. 21(2), pages 999-1029, June.

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