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The Use of Artificial Neural Networks in Company Valuation Process

  • Zofia WilimowskaEmail author
  • Tomasz Krzysztoszek
Conference paper
  • 1.1k Downloads
Part of the Studies in Computational Intelligence book series (SCI, volume 457)

Abstract

An increase in a company value is the main goal of the firm activity that creates opportunities for long term functioning and its development. The goal realization makes the investors see the company better and the company can find the capital easier. Many factors (external and internal) cause the company value. The paper presents the factors that should be taken into consideration in the process of company valuation; moreover, the articles presents a method of drivers value forecasting. The authors proposed the method based on artificial neural networks. The structure and simulation of the model is conducted. The implementation of the model is presented on the example of “Hama-Bis” company.

Keywords

Computer simulations artificial neural networks company valuation mixed methods of valuation value drivers 

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References

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    Wilimowska, Z., Krzysztoszek, T.: Value drivers in mixed methods of company valuation. In: Świątek, J., et al. (eds.) Information Systems Architecture and Technology. Decision Making Models, pp. 23–33. Printing House of Wroclaw University of Technology, Wroclaw (2007)Google Scholar
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    Wilimowska, Z., Buła, B.: Value drivers. In: Borzemski, L., et al. (eds.) Information Systems Architecture and Technology. Information Models, Concepts, Tools and Applications, pp. 271–278. Printing House of Wroclaw University of Technology, Wroclaw (2006)Google Scholar
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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Industrial Engineering and Management Institute, Faculty of Computer Science and ManagementWroclaw University of TechnologyWroclawPoland
  2. 2.School of Higher Vocational Education in NysaWroclaw University of TechnologyNysaPoland

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