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Application of Optimized Combination Method to Financial Risk Forecasting for Listed Companies

【摘要】:In a market economy,the competition among enterprises is becoming fiercer.Examples of declaring bankruptcy have become common.Financial risk is predictable,so it is of great practical significance for listed enterprises and the stakeholders to establish an effective financial risk forecasting model.The paper establishes a combination forecast model optimized with ant colony algorithm,to overcome the limitations of single model forecast,based on listed enterprises situation and characters and knowledge of economy management and accounting.It solves the problem of determining weight,and screens out better single forecast model.In this way,forecast content are more comprehensive.

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