Estimating cash in bank branches by time series and neural network approaches

Estimating cash in bank branches by time series and neural network approaches

Providing efficient and powerful approach for liquidity management of bank branches has always been one of the most important and challenging issues for researchers and scholars in the banking field. In other words, estimating the amount of required cash in different branches of the bank is one of t...

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Bibliographic Details
Main Authors: Pejman Peykani, Farzad Eshghi, Alireza Jandaghian, Hamed Farrokhi-Asl, Farid Tondnevis
Format: Article
Language:English
Published: REA Press 2021-12-01
Series:Big Data and Computing Visions
Subjects:
banking system
cash prediction
liquidity requirement
neural network
time series
Online Access:https://www.bidacv.com/article_142232_295ddce72fc506ca34b12b280a4e2040.pdf
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