| Title |
Cash efficiency for bank branches
|
|---|---|
| Published in |
SpringerPlus, July 2013
|
| DOI | 10.1186/2193-1801-2-334 |
| Pubmed ID | |
| Authors |
Julia García Cabello |
| Abstract |
Bank liquidity management has become a major issue during the financial crisis as liquidity shortages have intensified and have put pressure on banks to diversity and improve their liquidity sources. While a significant strand of the literature concentrates on wholesale liquidity generation and on the alternative to deposit funding, the management of an inventory of cash holdings within the banks' branches is also a relevant issue as any significant improvement in cash management at the bank distribution channels may have a positive effect in reducing liquidity tensions. In this paper, we propose a simple programme of cash efficiency for the banks' branches, very easy to implement, which conform to a set of instructions to be imposed from the bank to their branches. This model proves to significantly reduce cash holdings at branches thereby providing efficiency improvements in liquidity management. The methodology we propose is based on the definition of some stochastic processes combined with renewal processes, which capture the random elements of the cash flow, before applying suitable optimization programmes to all the costs involved in cash movements. The classical issue of the Transaction Demand for the Cash and some aspects of Inventory Theory are also present. Mathematics Subject Classification (2000) C02, C60, E50. |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 12% |
| Student > Master | 3 | 12% |
| Researcher | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Professor > Associate Professor | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 11 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 5 | 20% |
| Economics, Econometrics and Finance | 4 | 16% |
| Environmental Science | 1 | 4% |
| Mathematics | 1 | 4% |
| Psychology | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 11 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 August 2013.
All research outputs
#15,279,577
of 22,721,584 outputs
Outputs from SpringerPlus
#932
of 1,852 outputs
Outputs of similar age
#122,346
of 197,948 outputs
Outputs of similar age from SpringerPlus
#46
of 79 outputs
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