22-01-2015, 02:36 PM
hello sir,
This is ashok,i want ppt for computational methods for bankruptcy pridction.please kindly send to me.
thnking you
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download ppt for computational methods for bankruptcy prediction
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hello sir,
This is ashok,i want ppt for computational methods for bankruptcy pridction.please kindly send to me.
thnking you
12-04-2017, 04:02 PM
The prediction of bankruptcy is the art of predicting bankruptcy and various financial distress measures of public companies. It is a vast area of financial and accounting research. The importance of the area is due in part to the relevance to creditors and investors in assessing the likelihood that a company may go bankrupt. The amount of research is also a function of the availability of data: for public companies that have declared bankruptcy or not, numerous accounting relationships can be calculated that could indicate danger, and also numerous other potential explanatory variables are available. As a result, the area is suitable for testing increasingly sophisticated and data intensive forecasting approaches.
The history of bankruptcy prediction includes the application of numerous statistical tools that gradually became available, and involves deepening the appreciation of various dangers in the early analysis. Interestingly, research continues to be published which suffers from pitfalls that have been understood for many years.
Bankruptcy prediction has been the subject of formal analysis since at least 1932, when FitzPatrick published a study of 20 pairs of signatures, one failed and one survived, matched by date, size and industry in The Certified Public Accountant. He did not perform statistical analysis as is common now, but he carefully interpreted proportions and trends in proportions. His interpretation was effectively a complex multi-variable analysis.
In 1967, William Beaver applied t-tests to evaluate the importance of individual accounting ratios within a similar paired-like pairing. In 1968, in the first formal analysis of multiple variables, Edward I. Altman applied a multiple discriminant analysis within a paired sample. One of the first prominent models of bankruptcy prediction is the Z-Score financial analysis tool, which still applies today.
The history of bankruptcy prediction includes the application of numerous statistical tools that gradually became available, and involves deepening the appreciation of various dangers in the early analysis. Interestingly, research continues to be published which suffers from pitfalls that have been understood for many years.
Bankruptcy prediction has been the subject of formal analysis since at least 1932, when FitzPatrick published a study of 20 pairs of signatures, one failed and one survived, matched by date, size and industry in The Certified Public Accountant. He did not perform statistical analysis as is common now, but he carefully interpreted proportions and trends in proportions. His interpretation was effectively a complex multi-variable analysis.
In 1967, William Beaver applied t-tests to evaluate the importance of individual accounting ratios within a similar paired-like pairing. In 1968, in the first formal analysis of multiple variables, Edward I. Altman applied a multiple discriminant analysis within a paired sample. One of the first prominent models of bankruptcy prediction is the Z-Score financial analysis tool, which still applies today.
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