@misc{10481/86220,
year = {2017},
url = {https://hdl.handle.net/10481/86220},
abstract = {This paper deals with cash management for bank branches, under the assumption that branches have a
role to play in the improvement of global bank institution performance. In the current scenario of
unprecedented pressure amongst banks to keep costs under control, our contribution is the design of a
sound and low-cost algorithm to optimize branch cash holdings using software implementation in
SageMath. It is accompanied by data processing based on 60,000 real banking records. This is the first
academic paper to run such an extensive database at branch level.
We find that our algorithm by and large performs well when forecasting the cash amounts that the
branch might require from the central hub to satisfy all branch necessities, avoiding the generation of
either surplus or shortage of cash. It is also extremely easy to implement in daily branching practice,
leading to an overall reduction in operating costs. In addition, our algorithm may be easily adjusted as
required and be tailor-made to the special requirements of each banking institution.},
organization = {Spanish
Ministry of Science and Innovation (P12-SEJ-2463)},
organization = {Regional Government of Andalusia  (SEJ340)},
publisher = {Elsevier},
keywords = {Cash management at banking branch-level},
keywords = {Real bank data processing},
keywords = {Demand forecasting algorithm},
keywords = {Stochastic processes},
title = {Sound branch cash management for less: A low-cost forecasting algorithm under uncertain demand},
doi = {10.1016/j.omega.2016.09.005},
author = {García Cabello, Julia and Lobillo, F.J.},
}