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Algorithms 2014, 7(4), 650-662; doi:10.3390/a7040650

Time Series Prediction Method of Bank Cash Flow and Simulation Comparison

School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan 114044, Liaoning, China
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Received: 25 September 2014 / Revised: 5 November 2014 / Accepted: 14 November 2014 / Published: 26 November 2014
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Abstract

In order to improve the accuracy of all kinds of information in the cash business and enhance the linkage between cash inventory forecasting and cash management information in the commercial bank, the first moving average prediction method, the second moving average prediction method, the first exponential smoothing prediction and the second exponential smoothing prediction methods are adopted to realize the time series prediction of bank cash flow, respectively. The prediction accuracy of the cash flow time series is improved by optimizing the algorithm parameters. The simulation experiments are carried out on the reality commercial bank’s cash flow data and the predictive performance comparison results show the effectiveness of the proposed methods. View Full-Text
Keywords: time series prediction; moving average prediction; exponential smoothing prediction time series prediction; moving average prediction; exponential smoothing prediction
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Cui, W.-H.; Wang, J.-S.; Ning, C.-X. Time Series Prediction Method of Bank Cash Flow and Simulation Comparison. Algorithms 2014, 7, 650-662.

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