scholarly journals Classification of companies into stock exchange quotation markets using network metrics

2020 ◽  
Vol 2020 (2) ◽  
pp. 275-292
Author(s):  
Dariusz Siudak

The classification of a company into the relevant quotation market is an essential part of stock market efficiency. The aim of the article is to predict the classification of enterprises into the two types of quotation markets on the Warsaw Stock Exchange (i.e. the main one and NewConnect) by means of network measures of the company’s participation in interlocking directorates’ networks. The research was carried out on a network of enterprises established on the basis of their relationships through shared board directors. This network included 460 companies listed on the main exchange, and 442 companies in the NewConnect markets of the Warsaw Stock Exchange respectively (a total of 902 entities) at the end of 2014. The aim of the study is to classify the companies into the appropriate quotation market on the Warsaw Stock Exchange, i.e. the main market (WSE) or NewConnect (NC)

Author(s):  
Agnieszka Kuś ◽  
Joanna Żurakowska-Sawa

Abstract Subject and purpose of work: The aim of this study is to analyse the profitability level of industrial companies in various phases of their lifecycle. Materials and methods: The article uses data from individual annual financial statements of industrial companies in accordance with the classification of the Warsaw Stock Exchange. In order to investigate whether there are essential differences in the level of profitability of companies in various phases of their lifecycle, due to significant deviations from normality, the nonparametric Kruskal-Wallis H test was used. To find out which lifecycle phases differ significantly in terms of the level of analysed profitability ratios, a test of multiple comparisons of medium ranks was used (Post-hoc Dunn’s test). Results: The obtained research results show that a given lifecycle phase significantly differentiates the level of the analysed profitability indices. Conclusions: Based on the conducted research, it was found that the company’s lifecycle phase statistically significantly differentiates the level of the analysed profitability indices. In the early phases of the lifecycle, the level of profitability in the surveyed companies increased gradually reaching maximum and stable values in the phase of maturity or shake-out, after which it decreased in the decline phase. This points to an evolutionary transition of individual companies to the next phase of the lifecycle.


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