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The Study On Warning System Of Financial Failure In Chinese Listed Companies

Posted on:2005-12-25Degree:MasterType:Thesis
Country:ChinaCandidate:K H GengFull Text:PDF
GTID:2156360122987479Subject:Technical Economics and Management
Abstract/Summary:PDF Full Text Request
With entering WTO of our country, managing risks and financial risks which the Listed Companies of our country are confronted with are increasingly improved. In this environment, how to avoid and disperse these risks has become the discussed hotspot in the financial scope. The warning system of financial failure is favored by many practitioners, which is the most important part about the financial risk management. The paper want to give some contribution to the researching method of financial failure through establishing the financial failure warning system of Listed Companies and its operating tools.The chapter one of this paper is preface, which introduce the background, thinking, and structure of this paper. The second chapter is the generality about financial failure. In this part, it explores the conception, reason, and representation of financial failure at first. Then, it introduces how to define the financial failure, which is the researching object. Finally, this part introduces the function, motive and purpose of this paper. The chapter 3 mainly explores the constructing of the warning system of financial failure. And in this part, it point out that the function of financial failure mainly is predicting the symptom of financial failure, preventing financial failure or controlling it more enlarging, and avoiding similar financial failure happening again; In the chapter 4, we mainly expatiate the operating tools about warning financial failure. After we introduce the basic theory of qualitative and quantitative tools about warning financial failure, we suggest that we may apply Principal Component-Logistic analysis or Artificial Neural Network (ANN) based on quick BP method to warn financial failure of Listed Companies. Chapter 5 selects 30 financial failure companies which are ST and 30 no-financial failure companies which are no-ST as sample, and constructs Fisher Discriminant analysis model, Principal Component analysis model, Principal Component-Logistic-Regression analysis, and Artificial Neural Network (ANN) model based on quick BP method respectively according to these sample. In the last part, we compare these models. At the last chapter, which is chapter 6, we develop how to keep away or remedy financial failure when one listed company is faced with it.
Keywords/Search Tags:Listed companies, financial failure, warning system, Operating tools of warning, Principal Component-Logistic-Regression, ANN based on quick BP
PDF Full Text Request
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