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The Use of Artificial Neural Networks in Company Valuation Process

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Advanced Methods for Computational Collective Intelligence

Part of the book series: Studies in Computational Intelligence ((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.

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References

  1. Łukaniuk, M.: Methods of Company Valuation and Real Option. Doctor thesis, Wroclaw University of Technology, Wroclaw (2003) (in Polish)

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  4. 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)

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Correspondence to Zofia Wilimowska .

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Wilimowska, Z., Krzysztoszek, T. (2013). The Use of Artificial Neural Networks in Company Valuation Process. In: Nguyen, N., Trawiński, B., Katarzyniak, R., Jo, GS. (eds) Advanced Methods for Computational Collective Intelligence. Studies in Computational Intelligence, vol 457. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34300-1_27

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  • DOI: https://doi.org/10.1007/978-3-642-34300-1_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34299-8

  • Online ISBN: 978-3-642-34300-1

  • eBook Packages: EngineeringEngineering (R0)

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