Comparing Prediction Methods: The Case of Bankruptcy Predictions
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Comparing Prediction Methods
DE PB NWISBN: 9783639013795 bzw. 3639013794, in Deutsch, Vdm Verlag Dr. Müller, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
buecher.de GmbH & Co. KG, [1].
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.2008. 104 S. 220 mmVersandfertig in 3-5 Tagen, Softcover.
buecher.de GmbH & Co. KG, [1].
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.2008. 104 S. 220 mmVersandfertig in 3-5 Tagen, Softcover.
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Comparing Prediction Methods (2014)
DE PB NW RPISBN: 9783639013795 bzw. 3639013794, in Deutsch, VDM Verlag Dr. Müller E.K. Dez 2014, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
This item is printed on demand - Print on Demand Titel. Neuware - 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. 104 pp. Englisch.
This item is printed on demand - Print on Demand Titel. Neuware - 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. 104 pp. Englisch.
3
Symbolbild
Comparing Prediction Methods: The Case of Bankruptcy Predictions (2008)
DE PB NW RPISBN: 9783639013795 bzw. 3639013794, in Deutsch, VDM Verlag Dr. Müller, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, English-Book-Service - A Fine Choice [1048135], Waldshut-Tiengen, Germany.
This item is printed on demand for shipment within 3 working days.
This item is printed on demand for shipment within 3 working days.
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Comparing Prediction Methods: The Case of Bankruptcy Predictions (2008)
EN PB NWISBN: 9783639013795 bzw. 3639013794, in Englisch, 104 Seiten, VDM Verlag Dr. Müller, Taschenbuch, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Usually dispatched within 24 hours.
Von Händler/Antiquariat, Amazon.co.uk.
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Von Händler/Antiquariat, Amazon.co.uk.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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