财务困境预测

财务困境预测中BP神经网络模型应用综述

An Overview of the Application of BP Neural Network in the Financial Distress Prediction

现金流量在财务困境预测中的信息含量实证研究&来自2003-2004年度ST公司的新证据

An Empirical Study on Cash Flows ' Information Content in Financial Distress Prediction & Evidence from ST firms during the period of 2003-2004

遗传算法优化灰色案例推理的财务困境预测

Financial distress prediction using grey case-based reasoning optimized by genetic algorithm

基于模糊支持向量机的上市公司财务困境预测

Predicting financial distress of listed corporations based on fuzzy support vector machine

基于神经网络的财务困境预测模型比较研究

Comparative Study on Models of Financial Distress Prediction Based on Neural Networks

基于动态主元分析的财务困境预测模型

A Dynamic Principal Component Analysis Based Financial Distress Prediction Model

基于会计和治理信息的财务困境预测模型研究

Accounting Dilemma Forecast Model Based on Accounting and Governance Information

本文概述了国外公司财务困境预测模型的研究进展情况；

This paper elaborates the progresses of financial distress predicting modeling researches .

上市公司财务困境预测的信用评分模型

Forecasting corporate financial distress : using credit scoring models

有效的财务困境预测系统能预知财务危机的征兆。

The efficient financial predicament forecast system predicts the evidence of financial crisis .

财务困境预测的实证研究与评述

Positive Research and Review on Financial Distress Prediction

基于公司治理变量的财务困境预测研究

Corporate Governance Variables on Financial Distress Forecast Research

最后对我国财务困境预测模型的进一步研究作了探讨。

Lastly , the paper discusses the future study on prediction model of finance predicament .

动态主元分析在上市公司财务困境预测中的应用

The Application of Dynamic Principal Component Analysis in Predicting Financial Distress of Chinese Listed Companies

独立成分分析和模糊支持向量机在财务困境预测中的应用

Research on Financial Distress Prediction Based on independent component analysis and fuzzy support vector machine

现金流量信息含量与财务困境预测

Cash Flow Info Content vs Financial Ailment

财务困境预测模型为不同的利益相关人提供相应的决策依据。

It is urgent to develop financial distress prediction model based on the China market .

考虑投入产出效率的中小企业财务困境预测研究

Small-Medium-Enterprise Financial Failure Prediction Considering Efficiency

第四章建立财务困境预测模型。

Establishing the finance forecast model .

其次，针对财务困境预测，就样本设计、预测变量选择和统计方法选用等方面进行了深入的研究。

Secondly , detailed research is made on sample design , selection of prediction variables and statistical methods .

财务困境预测方法主要包括单变量分析法、多变量分析法以及定性定量结合分析法。

Financial Distress Prediction methods include univariate analysis , multivariate analysis and binding assay of equalization and quantization .

在此背景下，本文首先对国内外财务困境预测模型研究领域中的经典文献进行了回顾。

Under the above background , this article firstly reviews previous empirical results of the research on the financial predicting models .

随着信息技术的发展，神经网络方法被引入到财务困境预测这一研究领域。

With the development of information technology , neural network ( NN ) was introduced into the research area of financial distress .

因此，挖掘事前信息构建预测模型成为财务困境预测研究的新领域。

Therefore it becomes a new research field in financial distress prediction that how to mine ex-ante information to construct predictor variables .

本文的研究结果为今后财务困境预测研究充分挖掘现金流量的预测价值提供了实证依据。

The result of this study empirically provides foundation for exploiting the prediction value of the cash flow of financial distress prediction for the future .

这主要是由于中小企业没有完善的信用评估系统以及缺乏科学的财务困境预测体系。

This is mainly because that SMEs are lack of perfect credit evaluation system and financial distress prediction system , which directly bring up two problems .

基于对企业财务困境预测内涵的认识和企业财务困境形成过程的理解，本文认为，企业财务困境的短期预测和中长期预测的机理和影响因素是不同的，因而要求不同的预测指标体系。

It is then suggested that short term prediction is different from median or long term prediction on their cause factors and thus their feature subsets .

然后运用因子分析方法和逻辑斯谛回归进行了不同行业提前两年的财务困境预测研究。

By the use of factor analysis method together with the logit method , in order to make research into the financial distress pre-warning of two years .

最后，通过单变量和多变量财务困境预测方法的比较分析得到一定的启示，并针对陷入财务困境企业存在的问题提出了几点处理对策。

Finally , comparative analysis of univariate and multivariate financial distress prediction methods to get some inspiration , and into financial difficulties enterprises have some of the countermeasures .

国外公司财务困境预测研究在证券投资、信用风险管理、审计决策和公司财务管理中开始扮演越来越重要的角色。

Financial distress predicting has played more important role in securities investment , credit risk management , auditors ' decision-making and corporate financial management overseas than ever before .