Author: Charles T. Grant
Publisher:
ISBN:
Category : Bankruptcy
Languages : en
Pages : 300
Book Description
Financial Distress Prediction with an Expanded Information Set
Author: Charles T. Grant
Publisher:
ISBN:
Category : Bankruptcy
Languages : en
Pages : 300
Book Description
Publisher:
ISBN:
Category : Bankruptcy
Languages : en
Pages : 300
Book Description
Financial Statement Analysis and the Prediction of Financial Distress
Author: William H. Beaver
Publisher: Now Publishers Inc
ISBN: 1601984243
Category : Business & Economics
Languages : en
Pages : 89
Book Description
Financial Statement Analysis and the Prediction of Financial Distress discusses the evolution of three main streams within the financial distress prediction literature: the set of dependent and explanatory variables used, the statistical methods of estimation, and the modeling of financial distress. Section 1 discusses concepts of financial distress. Section 2 discusses theories regarding the use of financial ratios as predictors of financial distress. Section 3 contains a brief review of the literature. Section 4 discusses the use of market price-based models of financial distress. Section 5 develops the statistical methods for empirical estimation of the probability of financial distress. Section 6 discusses the major empirical findings with respect to prediction of financial distress. Section 7 briefly summarizes some of the more relevant literature with respect to bond ratings. Section 8 presents some suggestions for future research and Section 9 presents concluding remarks.
Publisher: Now Publishers Inc
ISBN: 1601984243
Category : Business & Economics
Languages : en
Pages : 89
Book Description
Financial Statement Analysis and the Prediction of Financial Distress discusses the evolution of three main streams within the financial distress prediction literature: the set of dependent and explanatory variables used, the statistical methods of estimation, and the modeling of financial distress. Section 1 discusses concepts of financial distress. Section 2 discusses theories regarding the use of financial ratios as predictors of financial distress. Section 3 contains a brief review of the literature. Section 4 discusses the use of market price-based models of financial distress. Section 5 develops the statistical methods for empirical estimation of the probability of financial distress. Section 6 discusses the major empirical findings with respect to prediction of financial distress. Section 7 briefly summarizes some of the more relevant literature with respect to bond ratings. Section 8 presents some suggestions for future research and Section 9 presents concluding remarks.
Financial Distress Prediction Using Neural Networks
Author: Fathi Abid
Publisher:
ISBN:
Category :
Languages : en
Pages : 9
Book Description
This exploratory research examines and models the financial distress prediction using neural network approach. The study is based on financial ratios. Nine different neural network models are constructed to test the predictive capability of the models by considering: (1) the impact of time varying information structure prior the distressed situation using first, independent annual financial ratios (four models)and second, different panel data sets (three models) and, (2) the influence of time varying probability estimates of financial distress in panel data sets (two models). Results support that it is not necessary to have complex architecture in neural models to predict firm's financial distress. Besides more the predictability horizon is shorter and the input information structure is most recent, more the predictive capability of the neural model is better.
Publisher:
ISBN:
Category :
Languages : en
Pages : 9
Book Description
This exploratory research examines and models the financial distress prediction using neural network approach. The study is based on financial ratios. Nine different neural network models are constructed to test the predictive capability of the models by considering: (1) the impact of time varying information structure prior the distressed situation using first, independent annual financial ratios (four models)and second, different panel data sets (three models) and, (2) the influence of time varying probability estimates of financial distress in panel data sets (two models). Results support that it is not necessary to have complex architecture in neural models to predict firm's financial distress. Besides more the predictability horizon is shorter and the input information structure is most recent, more the predictive capability of the neural model is better.
Accounting and Information Theory
Author: Baruch Lev
Publisher:
ISBN:
Category : Accounting
Languages : en
Pages : 106
Book Description
Publisher:
ISBN:
Category : Accounting
Languages : en
Pages : 106
Book Description
Predicting Corporate Financial Distress
Author: Hui Hu
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659337819
Category : Bankruptcy
Languages : en
Pages : 348
Book Description
This book presents a study which makes the first attempt to construct a particular financial distress prediction model for growth enterprises on the Growth Enterprise Markets in Hong Kong and mainland China. This study firstly establishes two financial distress prediction models: one incorporating financial factors and the other incorporating non-financial and macroeconomic factors. Based on these two models, the present work develops a financial distress prediction model, which uses all the three sets of factors. It has been found that the model including firm-specific non-financial and macroeconomic factors performs better in predicting growth enterprises' financial distress than does the model including firm-specific financial factors. Moreover, the model that considers all the three sets of factors has better predictive ability than does the model that incorporates firm-specific financial factors. It can be envisaged that investors, auditors and policymakers of the special markets would find the conclusion of this work extremely useful.
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659337819
Category : Bankruptcy
Languages : en
Pages : 348
Book Description
This book presents a study which makes the first attempt to construct a particular financial distress prediction model for growth enterprises on the Growth Enterprise Markets in Hong Kong and mainland China. This study firstly establishes two financial distress prediction models: one incorporating financial factors and the other incorporating non-financial and macroeconomic factors. Based on these two models, the present work develops a financial distress prediction model, which uses all the three sets of factors. It has been found that the model including firm-specific non-financial and macroeconomic factors performs better in predicting growth enterprises' financial distress than does the model including firm-specific financial factors. Moreover, the model that considers all the three sets of factors has better predictive ability than does the model that incorporates firm-specific financial factors. It can be envisaged that investors, auditors and policymakers of the special markets would find the conclusion of this work extremely useful.
The Research of Financial Distress Prediction Model
Author: 許伯勳
Publisher:
ISBN:
Category :
Languages : en
Pages : 44
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 44
Book Description
Financial Distress Prediction Model
Author: Xenas Liu
Publisher:
ISBN:
Category : Bankruptcy
Languages : en
Pages : 130
Book Description
Publisher:
ISBN:
Category : Bankruptcy
Languages : en
Pages : 130
Book Description
Handbook of Research Methods and Applications in Empirical Finance
Author: Adrian R. Bell
Publisher: Edward Elgar Publishing
ISBN: 0857936093
Category : Business & Economics
Languages : en
Pages : 494
Book Description
This impressive Handbook presents the quantitative techniques that are commonly employed in empirical finance research together with real-world, state-of-the-art research examples. Written by international experts in their field, the unique approach describes a question or issue in finance and then demonstrates the methodologies that may be used to solve it. All of the techniques described are used to address real problems rather than being presented for their own sake, and the areas of application have been carefully selected so that a broad range of methodological approaches can be covered. The Handbook is aimed primarily at doctoral researchers and academics who are engaged in conducting original empirical research in finance. In addition, the book will be useful to researchers in the financial markets and also advanced Masters-level students who are writing dissertations.
Publisher: Edward Elgar Publishing
ISBN: 0857936093
Category : Business & Economics
Languages : en
Pages : 494
Book Description
This impressive Handbook presents the quantitative techniques that are commonly employed in empirical finance research together with real-world, state-of-the-art research examples. Written by international experts in their field, the unique approach describes a question or issue in finance and then demonstrates the methodologies that may be used to solve it. All of the techniques described are used to address real problems rather than being presented for their own sake, and the areas of application have been carefully selected so that a broad range of methodological approaches can be covered. The Handbook is aimed primarily at doctoral researchers and academics who are engaged in conducting original empirical research in finance. In addition, the book will be useful to researchers in the financial markets and also advanced Masters-level students who are writing dissertations.
Topics on Financial Distress Prediction Modelling
Author: Khaled Jamal Fadel Halteh
Publisher:
ISBN:
Category : Finance
Languages : en
Pages : 211
Book Description
Publisher:
ISBN:
Category : Finance
Languages : en
Pages : 211
Book Description
Financial Distress Prediction
Author: Josef Künzli
Publisher:
ISBN:
Category :
Languages : en
Pages : 144
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 144
Book Description