Artificial Intelligence In Economics And Managment

Author: Phillip Ein-Dor
Editor: Springer Science & Business Media
ISBN: 9780792397618
File Size: 27,40 MB
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In the past decades several researchers have developed statistical models for the prediction of corporate bankruptcy, e. g. Altman (1968) and Bilderbeek (1983). A model for predicting corporate bankruptcy aims to describe the relation between bankruptcy and a number of explanatory financial ratios. These ratios can be calculated from the information contained in a company's annual report. The is to obtain a method for timely prediction of bankruptcy, a so ultimate purpose called "early warning" system. More recently, this subject has attracted the attention of researchers in the area of machine learning, e. g. Shaw and Gentry (1990), Fletcher and Goss (1993), and Tam and Kiang (1992). This research is usually directed at the comparison of machine learning methods, such as induction of classification trees and neural networks, with the "standard" statistical methods of linear discriminant analysis and logistic regression. In earlier research, Feelders et al. (1994) performed a similar comparative analysis. The methods used were linear discriminant analysis, decision trees and neural networks. We used a data set which contained 139 annual reports of Dutch industrial and trading companies. The experiments showed that the estimated prediction error of both the decision tree and neural network were below the estimated error of the linear discriminant. Thus it seems that we can gain by replacing the "traditionally" used linear discriminant by a more flexible classification method to predict corporate bankruptcy. The data set used in these experiments was very small however.
Artificial Intelligence in Economics and Managment
Language: en
Pages: 276
Authors: Phillip Ein-Dor
Categories: Computers
Type: BOOK - Published: 1996-08-31 - Publisher: Springer Science & Business Media

In the past decades several researchers have developed statistical models for the prediction of corporate bankruptcy, e. g. Altman (1968) and Bilderbeek (1983). A model for predicting corporate bankruptcy aims to describe the relation between bankruptcy and a number of explanatory financial ratios. These ratios can be calculated from the
Artificial Intelligence in Economics and Management
Language: en
Pages: 292
Authors: International Workshop on Artificial Intelligence in Economic and management, International Federation of Automatic Control
Categories: Artificial intelligence
Type: BOOK - Published: 1986 - Publisher: North Holland

Books about Artificial Intelligence in Economics and Management
Economics and Law of Artificial Intelligence
Language: en
Pages: 545
Authors: Georgios Zekos
Categories: Law
Type: BOOK - Published: 2021-02-05 - Publisher: Springer

This book presents a comprehensive analysis of the alterations and problems caused by new technologies in all fields of the global digital economy. The impact of artificial intelligence (AI) not only on law but also on economics is examined. In the first part, the economics of AI are explored, including
Artificial Intelligence in Economics and Management
Language: un
Pages:
Authors: Georgios Zekos
Categories: Law
Type: BOOK - Published: 1986 - Publisher:

Books about Artificial Intelligence in Economics and Management
Artificial Intelligence in Economics and Finance Theories
Language: en
Pages: 125
Authors: Tankiso Moloi, Tshilidzi Marwala
Categories: Computers
Type: BOOK - Published: 2020-05-07 - Publisher: Springer Nature

As Artificial Intelligence (AI) seizes all aspects of human life, there is a fundamental shift in the way in which humans are thinking of and doing things. Ordinarily, humans have relied on economics and finance theories to make sense of, and predict concepts such as comparative advantage, long run economic