2022
DOI: 10.1371/journal.pone.0268753
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Cash stock strategies during regular and COVID-19 periods for bank branches by deep learning

Abstract: Determining the optimal amount of cash stock reserved in each bank branch is a strategic decision. A certain level of cash stock must be kept and ready for cash withdrawal needs at a branch. However, holding too much cash not only forfeits opportunities to make profit from the exceeding amount of cash in the stock but also increases insurance cost. This paper presents cash stock strategies for bank branches by using deep learning. Deep learning models were applied to historical data collected by a retail bank … Show more

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Cited by 2 publications
(1 citation statement)
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“…The authors of [8] modeled cash logistics in bank branches as an optimization problem and developed machine learning models to estimate the uncertainty of cash demand. The paper [9] presents cash strategies for bank branches using deep learning techniques. It is proposed to predict, in the form of an upper and lower limit, the level of cash collections and customer requirements for cash withdrawals.…”
Section: Introductionmentioning
confidence: 99%
“…The authors of [8] modeled cash logistics in bank branches as an optimization problem and developed machine learning models to estimate the uncertainty of cash demand. The paper [9] presents cash strategies for bank branches using deep learning techniques. It is proposed to predict, in the form of an upper and lower limit, the level of cash collections and customer requirements for cash withdrawals.…”
Section: Introductionmentioning
confidence: 99%