Forecasting ATM Cash Demand Before and During the COVID-19 Pandemic Using an Extensive Evaluation of Statistical and Machine Learning Models

The overarching goal of this paper is to accurately forecast ATM cash demand for periods both before and during the COVID-19 pandemic. To achieve this, first, ATMs are categorized based on accessibility and surrounding environmental factors that significantly affect the cash withdrawal pattern. Then...

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Detalles Bibliográficos
Autores principales: Fallahtafti, Alireza, Aghaaminiha, Mohammadreza, Akbarghanadian, Sara, Weckman, Gary R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8853245/
https://www.ncbi.nlm.nih.gov/pubmed/35194582
http://dx.doi.org/10.1007/s42979-021-01000-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8853245/
https://www.ncbi.nlm.nih.gov/pubmed/35194582
http://dx.doi.org/10.1007/s42979-021-01000-0

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