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This research paper makes an attempt at closing the gap in literature by testing agency considerations as an influencing factor for dividend policy of IPO firms. Dividend data of 642 firms from seven countries are used to make statistical interferences about the time it takes an IPO to issue dividend, influenced by different institutional factors of countries. An OLS is used to make these interferences. The results presented here indicate that there is a robust effect of legal enforcement on the time it takes before an IPO firm in a certain country pays its first dividend.

Phylogenetic tree inference is a very common method for visualising evolutionary relationships among species. This work focuses on explanation of mathematical theory behind molecular phylogenetics as well as design of a modified algorithm for phylogenetic tree inference based on intra-group analysis of nucleotide and amino acid sequences. Furthermore, it describes the object design and implementation of the proposed methods in Python language, as well as its integration into powerful bioinformatic portal. The proposed modified algorithmic solutions give better results comparing to standard methods, especially on the field of clustering of predefined groups. Finally, future work as well as an application of proposed methods to other fields of information technology are discussed.