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This paper intends to identify empirically the common characteristics of bankrupting firms from accounting and financial data. It provides not only ways of predicting firms headed for bankruptcy, but also identifying the pattern of failing firms over time. The Adaptive Learning Network (ALN), an...
Persistent link: https://www.econbiz.de/10010669274
„h Contrary to common perceptions, most Australian businesses survive for a considerable time ¡V for example, around two¡Vthirds of businesses are still operating after five years and almost one¡Vhalf are still operating after ten years. „h Around 7.5 per cent of businesses exit each year...
Persistent link: https://www.econbiz.de/10005125748
The paper analyses options in case of insolvency. Although insolvency plans empirically are very successful, they are …
Persistent link: https://www.econbiz.de/10008479035
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A new, efficient clustering method for solving the cellular manufacturing problem is presented in this paper. The method uses the part-machine incidence matrix of the manufacturing system to form machine cells, each of which processes a family of parts. By doing so, the system is decomposed into...
Persistent link: https://www.econbiz.de/10005147265
Motivated from the charting analysis in the financial industry, Chen and He (2003) are the first to use self-organizing maps to search for and identify price patterns. Such a model is referred to as the trajectory-domain model (TDM). Chen and Tsao (2003) apply the TDMs to three American stock...
Persistent link: https://www.econbiz.de/10005537635
Through an implementation of the 2-level-approach due to Vesanto & Alhoniemi (2000), this paper addresses a number of problems typically seen when visualized interpretation of Self Organizing Maps (SOM) are applied to derive a systematic classification system in the hedge fund literature....
Persistent link: https://www.econbiz.de/10005108467
Exploratory analysis of financial and economic data is being accepted as a very valuable and important stage of solving of majority of financial and economic tasks. We introduce a short overview of neural network approaches and applications in the financial and economic domain. Self-organizing...
Persistent link: https://www.econbiz.de/10005258204
Self-organizing maps (SOM) are unsupervised, competitive neural networks used to project high-dimensional data onto a low-dimensial space. In this article we show how SOM can be sued to draw graphs in the plane. The SOM-based approach to graph drawing, which belongs to the general class of...
Persistent link: https://www.econbiz.de/10005260359