A Fish Swarm Algorithm for Financial Risk Early Warning

A Fish Swarm Algorithm for Financial Risk Early Warning

Liu Yunshan (School of Economics and Management, Yunnan Communications Vocational and Technical College, Yunnan, China)
Copyright: © 2018 |Pages: 10
DOI: 10.4018/IJEIS.2018100104

Abstract

The financial risk early warning system is important for promoting the sustainable development of enterprise, and in this article, the fish swarm algorithm is applied to it. First, the main financial risk factors of enterprise are summarized. Second, the index system of the financial risk early warning system is constructed based on relating theory. Third, the basic theory of artificial fish swarm algorithm is studied, and the mathematical models are constructed. Then, the wavelet neutral network is improved based on the fish swarm algorithm, and the algorithm procedure is designed. Finally, a simulation analysis is carried out, and the predicting correctness of samples is 100%, and results show that the fish swarm algorithm is an effective method for improving the financial risk early warning system.
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2. Financial Risk Factors Of Enterprise

2.1. Financial Adaptation Factor

The financial adaptation factor concludes the debt paying ability of enterprise and its capital structure. The dept paying ability of enterprise refers to the ability of paying all kinds of debt for enterprise, which is a critical index of financial status for enterprise. The debt paying ability can illustrate the financial status, existing financial risk and financing situation of enterprise, therefore the debt paying ability is an important part of financial early warning system of enterprise. The capital structure of enterprise refers to the ratio of all kinds of financial methods on total capital of enterprises.

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