Daily net cash flow analysis and forecasting : Transition from Microscopic to Macroscopic Stochastic Equations

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Danesh Elham; Saeedi Ali; Rahmaninia Ehsan; Gholami Amir

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Journal Paper

Paper Information

Journal: Advances in Mathematical Finance and Applications Year:2023 | Volume:8 | Issue:4 Page(s): 1111-1123

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Information Journal Paper

Title

Daily net cash flow analysis and forecasting : Transition from Microscopic to Macroscopic Stochastic Equations

Author(s)

Danesh Elham | Saeedi Ali | Rahmaninia Ehsan | Gholami Amir | Issue Writer Certificate

Keywords

Vasicek

Modified Square Root

Net cash flow

Geometric Brown Motion

Arithmetic Brownian Motion

Abstract

The purpose of this study is a new understanding behaviour and Net cash flow forecasting. The data of this research contains the daily trial balance for one year, which has been received from 48 bank branches. For this purpose, the optimal model out of 4 models; Geometric Brownie, Arithmetic Brownie, Vasicek and Modified Square Root at three levels of microscopic, mesoscopic and macroscopic have been investigated and the Geometric Brownie model has been approved as the optimal model in microscopic level . The results show that Geometric Brownian Motion model can simulate the Net cash flow highly accurate in accordance with the criteria of mean absolute percentage error. also forecasting Net cash flow for each under study time series has been done in various forecasting horizons involved 7, 14, 21, 30, 60, 90 and 180 day time period accordance with the criteria of mean absolute percentage error. Also The other results obtained from this study is that according to 8 different prediction accuracy criteria, By increasing the forecast hori-zon, ability of the GBM model in simulation and forecasting the Net cash flow de-creases.

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