Lagkas, T.D. orcid.org/0000-0002-0749-9794 and Papadopoulos, D. (2014) Financial analysis considering distress prediction models of telecommunications companies listed in Athens Stock Exchange: Hellenic Telecommunications Organization, Forthnet, Hellas Online. International Journal of Decision Sciences, Risk and Management, 5 (4). p. 376. ISSN 1753-7169
Abstract
Within over a decade of liberalisation of the Greek telecommunications market and given the current adverse conditions caused by the economic crisis, a limited number of companies managed to survive and relatively stabilise their market position. On one hand, this paper constitutes a comprehensive financial analysis of the Greek telecommunications companies that are currently listed in the Athens Stock Exchange. The respective companies are: Hellenic Telecommunications Organization (OTE), Forthnet, and Hellas Online (HOL). These companies' financial data over the past five years, from 2008 to 2012, are analysed using universally accepted methods. On the other hand, this work presents a relatively original approach of analysing companies' survivability, by combining the four widely accepted distress prediction models of Altman, Springate, Ohlson, and Zmijewski. In this manner, criticism on the credibility and applicability of this model on the specific field is also provided.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2014 Inderscience. This is an author produced version of a paper subsequently published in International Journal of Decision Sciences, Risk and Management. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > International Faculty (Sheffield) > City College - Computer Science |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 17 May 2017 13:58 |
Last Modified: | 20 Mar 2018 21:30 |
Published Version: | https://doi.org/10.1504/IJDSRM.2014.068151 |
Status: | Published |
Publisher: | Inderscience |
Refereed: | Yes |
Identification Number: | 10.1504/IJDSRM.2014.068151 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:116430 |