bankruptcy prediction models (2)

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BANKRUTCY PREDICTION MODELS

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Page 1: Bankruptcy prediction models (2)

BANKRUTCY PREDICTION

MODELS

Page 2: Bankruptcy prediction models (2)

William H. Beaver`s model

Altman`s Z score Model

Wilcox Model

Blum Marc`s Model

L.C. Gupta Model

Page 3: Bankruptcy prediction models (2)

William H. Beaver`s Model

“ Failure as the inability of a firm to pay it's

Financial obligations as they mature. “

Failed Firms

Bankruptcies, bond defaults, overdrawn bank accounts, and firms that omitted payment

of preferred stock dividends

Page 4: Bankruptcy prediction models (2)

The seventy-nine failed firms were identified from Moody's Industrial Manual during the time period of 1954 to 1964.

The majority of the seventy-nine failed firms

operated in the manufacturing type of business.

Their asset size range from $0.6 million to $45

million with a mean of approximately $6 million.

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Analysis of Financial Ratios

Profile Analysis

Dichotomous Classification Test

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Profile Analysis

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Dichotomous Classification Test

Page 10: Bankruptcy prediction models (2)

Edward I. Altman`s Model

Improvement over Beaver`s univariate study

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Z-Score

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A score of Z less than 2.675 indicates that a firm has a 95 per cent chance of becoming bankrupt within one year. However, Altman’s results show that in practice scores between 1.81 and 2.99 should be thought of as a grey area. In actual use, bankruptcy would be predicted if Z ≤ 1.81 and non-bankruptc if

Z ≥ 2.99

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where Z < 1.23 indicates a bankruptcy prediction,

1.23 ≥ Z ≤ 2.90 indicates a grey area,

And

Z > 2.90 indicates no bankruptcy.

Page 15: Bankruptcy prediction models (2)

Financial statements of Sanofi-Aventis SA

Page 16: Bankruptcy prediction models (2)

Consolidated income statement

Page 17: Bankruptcy prediction models (2)

Calculation of Z- Score

Page 18: Bankruptcy prediction models (2)

THANKYOU

!!!