Comparing Prediction Methods

Name: Comparing Prediction Methods
Brand: VDM Verlag Dr. Müller
SKU: 9783639013795
Price: 254.63 RON
Availability: InStock

The Case of Bankruptcy Predictions

Autor: Ashvin Sood

Limbă:

Legare: Carte broșată

Editura: VDM Verlag Dr. Müller

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The aim of this study was to compare three methods of bankruptcy prediction, which were Multivariate...

Informații despre carte

Autor

Ashvin Sood

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2014

Pagini

104

EAN

9783639013795

Enbook ID

09107550

Editura

VDM Verlag Dr. Müller

Greutate

171

Dimensiuni

150 x 220 x 6

Descriere completă

The aim of this study was to compare three methods of bankruptcy prediction, which were Multivariate Discriminant Analysis, Logit Analysis and Artificial Neural Networks. The methods were compared based on their ability to correctly classify and predict bankruptcy on American public listed companies one year prior to the year of failure. The window of interest in this study was the ten year period from 1984 to 1994. Eleven financial ratios, based on a study by Karels & Prakash (1987), were used in the three prediction methods. It was expected, based on previous literature, that the Artificial Neural Network would be the superior method. This study used a more robust testing technique, incorporating different proportions of bankrupt and financially stable companies as well as different sample mixes between the classification and holdout sample. Overall, it was Multivariate Discriminant Analysis which proved to be the best method of prediction in this study.

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Comparing Prediction Methods

The Case of Bankruptcy Predictions

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Descriere completă

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