Sound branch cash management for less: A low-cost forecasting algorithm under uncertain demand

Cabello, Julia García; Lobillo, F. J.

doi:10.1016/j.omega.2016.09.005

Cited by 7 publications

(3 citation statements)

References 35 publications

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“…Specifically, in (García Cabello, 2013b) a theoretical programme of cash efficiency for bank's branches is proposed thereby providing a significant reduction of cash holdings at branches. In (García Cabello et al, 2017), an effective algorithm to optimize branch cash holdings is designed as a cutting-edge methodology to enhance the efficiency of bank branches regarding the liquidity management.…”

Section: Fundamentalsmentioning

confidence: 99%

Money Leaks in Banking ATM’s Cash-Management Systems

Cabello

2020

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Some widely-accepted practices on banking ATM networks may negatively affect an 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.

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Section: Fundamentalsmentioning

confidence: 99%

Money Leaks in Banking ATM’s Cash-Management Systems

Cabello

2020

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“…As an illustrative example ( [14]) we consider the following three geographical variables as determinants of branch location with regard to demographic factors: z 1 ¼ unemployment, z 2 ¼ density of population and z 3 ¼ percentage of foreign population. Thus, the values of local demographics are determined by the values of the chosen geographic variables z i , according to a table as follows (see Table 2):…”

Section: Quantifying Multi-factors and Fuzzy Factors: Local Demographicsmentioning

confidence: 99%

“…In general terms, the most accepted is to consider the size of a branch as an increasing function of the total branch cash needs: bigger branches correspond to bigger movements -entries and exits-of liquid resources (see Ref. [14]). For all these reasons, a very high number of possible factors may be 9 Here "proper" means "not intended for illustrative purposes".…”

Section: An Illustrative Examplementioning

confidence: 99%