IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v254y2016i3p1074-1082.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037722171630282X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ejor.2016.04.045?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    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. García Cabello, Julia, 2017. "The future of branch cash holdings management is here: New Markov chains," European Journal of Operational Research, Elsevier, vol. 259(2), pages 789-799.
    2. Fernando Alvarez & Francesco Lippi & Roberto Robatto, 2019. "Cost of Inflation in Inventory Theoretical Models," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 32, pages 206-226, April.
    3. Moraes, Marcelo Botelho da Costa & Nagano, Marcelo Seido, 2014. "Evolutionary models in cash management policies with multiple assets," Economic Modelling, Elsevier, vol. 39(C), pages 1-7.
    4. Tamas Briglevics & Scott Schuh, 2013. "U.S. consumer demand for cash in the era of low interest rates and electronic payments," Working Papers 13-23, Federal Reserve Bank of Boston.
    5. Marcos Melo & Feruccio Bilich, 2013. "Expectancy balance model for cash flow," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 37(2), pages 240-252, April.
    6. Yonit Barron, 2022. "A probabilistic approach to the stochastic fluid cash management balance problem," Annals of Operations Research, Springer, vol. 312(2), pages 607-645, May.
    7. Suder, Marcin & Gurgul, Henryk & Barbosa, Belem & Machno, Artur & Lach, Łukasz, 2024. "Effectiveness of ATM withdrawal forecasting methods under different market conditions," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    8. Francisco Salas-Molina & Juan A. Rodríguez-Aguilar & Montserrat Guillen, 2023. "A multidimensional review of the cash management problem," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-35, December.
    9. Zhengyan Wang & Guanghua Xu & Peibiao Zhao, 2019. "Optimal Uncertain Controls for Cash Holding Problems," Mathematics, MDPI, vol. 7(11), pages 1-12, November.
    10. Gupta, Sushil & Dutta, Kaushik, 2011. "Modeling of financial supply chain," European Journal of Operational Research, Elsevier, vol. 211(1), pages 47-56, May.
    11. Wei Luo & Kevin Shang, 2015. "Joint Inventory and Cash Management for Multidivisional Supply Chains," Operations Research, INFORMS, vol. 63(5), pages 1098-1116, October.
    12. Luisanna Onnis & Patrizio Tirelli, 2015. "Shadow economy: Does it matter for money velocity?," Empirical Economics, Springer, vol. 49(3), pages 839-858, November.
    13. Thakur, Bhanu Pratap Singh & Kannadhasan, M., 2019. "Corruption and cash holdings: Evidence from emerging market economies," Emerging Markets Review, Elsevier, vol. 38(C), pages 1-17.
    14. Furkan Baser & Soner Gokten & Guray Kucukkocaoglu & Hasan Ture, 2016. "Liquidity-Profitability Tradeoff Existence In Turkey: An Empirical Investigation Under Structural Equation Modeling," Copernican Journal of Finance & Accounting, Uniwersytet Mikolaja Kopernika, vol. 5(2), pages 27-44.
    15. Smith, Bruce D., 1984. "Money, nonconvex preferences, and the existence of equilibrium: A note," Journal of Economic Theory, Elsevier, vol. 32(2), pages 359-366, April.
    16. Francisco Salas-Molina & David Pla-Santamaria & Juan A. Rodriguez-Aguilar, 2018. "A multi-objective approach to the cash management problem," Annals of Operations Research, Springer, vol. 267(1), pages 515-529, August.
    17. Salas-Molina, Francisco & Martin, Francisco J. & Rodríguez-Aguilar, Juan A. & Serrà, Joan & Arcos, Josep Ll., 2017. "Empowering cash managers to achieve cost savings by improving predictive accuracy," International Journal of Forecasting, Elsevier, vol. 33(2), pages 403-415.
    18. Abdul Rashid & Maryam Ashfaq, 2017. "Financial Constraints And Corporate Cash Holdings: An Empirical Analysis Using Firm Level Data," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 12(02), pages 1-26, June.
    19. LeBlanc, Michael & Yanagida, John F. & Conway, Roger K., 1987. "The Derived Demand For Real Cash Balances In Agricultural Production," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 12(1), pages 1-8, July.
    20. Barron, Yonit, 2023. "A stochastic card balance management problem with continuous and batch-type bilateral transactions," Operations Research Perspectives, Elsevier, vol. 10(C).

    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:eee:ejores:v:254:y:2016:i:3:p:1074-1082. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    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.