title: Econometric analysis of the impact of various factors on the dynamics of mergers and acquisitions of companies
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
Creators: name: ÐÑÐºÐ¾Ð², ÐÐ°ÐºÑÐ¸Ð¼
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: ÑÐ»Ð¸ÑÐ½Ð¸Ñ Ð¸ Ð¿Ð¾Ð³Ð»Ð¾ÑÐµÐ½Ð¸Ñ (M&amp;A)
ÐºÐ¾ÑÐ¿Ð¾ÑÐ°ÑÐ¸Ð²Ð½Ð¾Ðµ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ðµ
ÑÐºÐ¾Ð½Ð¾Ð¼ÐµÑÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð°Ð½Ð°Ð»Ð¸Ð·
Ð¼Ð¾Ð´ÐµÐ»Ñ Ð»Ð¸Ð½ÐµÐ¹Ð½Ð¾Ð¹ ÑÐµÐ³ÑÐµÑÑÐ¸Ð¸
merger and acquisition (M&amp;A)
corporate governance
econometric analysis
the linear regression model

description: Ð­ÑÐ° ÑÐ°Ð±Ð¾ÑÐ° Ð²Ð½Ð¾ÑÐ¸Ñ ÑÐ²Ð¾Ð¹ Ð²ÐºÐ»Ð°Ð´ Ð² Ð¸Ð·ÑÑÐµÐ½Ð¸Ðµ ÑÐµÐ¼Ñ ÑÐ»Ð¸ÑÐ½Ð¸Ð¹ Ð¸ Ð¿Ð¾Ð³Ð»Ð¾ÑÐµÐ½Ð¸Ð¹ (M ÑÐµÐºÑÐ¾ÑÐµ Ð¾ÑÐ½Ð¾Ð²Ð½Ð¾Ðµ,). Ð¡Ð»Ð¸ÑÐ½Ð¸Ñ Ð¸ Ð¿Ð¾Ð³Ð»Ð¾ÑÐµÐ½Ð¸Ñ - ÑÑÐ¾ ÐºÐ»Ð°ÑÑ ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ¸Ñ Ð¿ÑÐ¾ÑÐµÑÑÐ¾Ð² ÐºÐ¾Ð½ÑÐ¾Ð»Ð¸Ð´Ð°ÑÐ¸Ð¸ Ð±Ð¸Ð·Ð½ÐµÑÐ° Ð¸ ÐºÐ°Ð¿Ð¸ÑÐ°Ð»Ð°, Ð¿ÑÐ¾Ð¸ÑÑÐ¾Ð´ÑÑÐ¸Ñ Ð½Ð° Ð¼Ð°ÐºÑÐ¾- Ð¸ Ð¼Ð¸ÐºÑÐ¾ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ¾Ð¼ ÑÑÐ¾Ð²Ð½ÑÑ, Ð² ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ ÐºÐ¾ÑÐ¾ÑÑÑ Ð½Ð° ÑÑÐ½ÐºÐµ Ð¿Ð¾ÑÐ²Ð»ÑÑÑÑÑ Ð±Ð¾Ð»ÐµÐµ ÐºÑÑÐ¿Ð½ÑÐµ ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸. Ð¦ÐµÐ»ÑÑ Ð´Ð°Ð½Ð½Ð¾Ð¹ Ð¼Ð°Ð³Ð¸ÑÑÐµÑÑÐºÐ¾Ð¹ Ð´Ð¸ÑÑÐµÑÑÐ°ÑÐ¸Ð¸ ÑÐ²Ð»ÑÐµÑÑÑ Ð¸Ð·ÑÑÐµÐ½Ð¸Ðµ Ð²Ð·Ð°Ð¸Ð¼Ð¾ÑÐ²ÑÐ·Ð¸ Ð¼ÐµÐ¶Ð´Ñ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÐ¼Ð¸ Ð´ÐµÑÐµÑÐ¼Ð¸Ð½Ð°Ð½ÑÐ°Ð¼Ð¸...Ð¾... ÑÐ´ÐµÐ»Ð¾Ðº Ð¸ ÐºÐ¾Ð»Ð¸ÑÐµÑÑÐ²Ð¾Ð¼ ÑÐ»Ð¸ÑÐ½Ð¸Ð¹ Ð¸ Ð¿Ð¾Ð³Ð»Ð¾ÑÐµÐ½Ð¸Ð¹. ÐÐ°Ð½Ð½Ð¾Ðµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¿ÑÐ¾Ð²Ð¾Ð´Ð¸ÑÑÑ Ð½Ð° Ð´Ð²ÑÑ ÑÑÐ¾Ð²Ð½ÑÑ, Ð¿ÐµÑÐ²ÑÐ¹ Ð¸Ð· ÐºÐ¾ÑÐ¾ÑÑÑ - ÑÑÑÐ°Ð½Ð¾Ð²Ð¾Ð¹, Ð³Ð´Ðµ Ð³Ð´ÐµÑÑÑ ER Ð²Ð½Ð¸Ð¼Ð°Ð½Ð¸Ðµ ÑÐ¾ÑÑÐµÐ´Ð¾ÑÐ¾ÑÐµÐ½Ð¾ Ð½Ð° Ð¼Ð°ÐºÑÐ¾ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ¸Ñ Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÐµÐ»ÑÑ Ð¸ Ð¸Ñ Ð²Ð»Ð¸ÑÐ½Ð¸Ð¸ Ð½Ð° ÐºÐ¾Ð»Ð¸ÑÐµÑÑÐ²Ð¾ ÑÐ´ÐµÐ»Ð¾Ðº ÑÐ»Ð¸ÑÐ½Ð¸Ñ Ð¸ Ð¿Ð¾Ð³Ð»Ð¾ÑÐµÐ½Ð¸Ñ. ÐÑÐ¾ÑÐ¾Ð¹ ÑÑÐ¾Ð²ÐµÐ½Ñ Ð¿Ð¾ÑÐ²ÑÑÐµÐ½ Ð°Ð½Ð°Ð»Ð¸Ð·Ñ ÑÑÐ°Ð½Ð·Ð°ÐºÑÐ¸Ð¹ Ð² ÐºÐ¾Ð½ÐºÑÐµÑÐ½Ð¾Ð¹ Ð¾ÑÑÐ°ÑÐ»Ð¸, Ð° Ð¸Ð¼ÐµÐ½Ð½Ð¾ IT-ÑÐµÐºÑÐ¾ÑÐµ Ð¡Ð¨Ð ÑÐµÐºÑÐ¾ÑÐµk Ð¾ÑÐ½Ð¾Ð²Ð½Ð¾Ðµ), Ð³Ð´Ðµ Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÐµÐ½Ñ ÐºÑÑÐ¿Ð½ÐµÐ¹ÑÐ¸Ðµ ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸ Ð¾ÑÑÐ°ÑÐ»Ð¸ Ð² ÑÐµÐ»Ð¾Ð¼. Ð¡Ð±Ð¾Ñ Ð´Ð°Ð½Ð½ÑÑ Ð¿ÑÐ¾Ð²Ð¾Ð´Ð¸Ð»ÑÑ Ð² ÑÐ¸ÑÑÐ¾Ð²Ð¾Ð¹ ÑÑÐµÐ´Ðµ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½ÑÐ¾Ð² ÑÐ¸Ð½ÑÐ°ÐºÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð°, Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÑ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½ÑÐ¾Ð² Python. ÐÐ½Ð°Ð»Ð¸Ð· Ð¸ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° Ð´Ð°Ð½Ð½ÑÑ Ð¾ÑÑÑÐµÑÑÐ²Ð»ÑÐ»Ð¸ÑÑ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ñ STATA, Ð° Ð¸Ð¼ÐµÐ½Ð½Ð¾.
description: Â  Â  Â  This work contributes to the topic of Mergers and Acquisitions (M&amp;As). Mergers and acquisitions are a class of economic processes of consolidation of business and capital, occurring at the macro- and microeconomic levels, as a result of which larger companies appear on the market. The purpose of this masters thesis is to examine the relationship between various determinants and the number of mergers and acquisitions. This study is conducted at two levels, where the first is the country level, where the focus of the study is based on macroeconomic indicators and their impact on the number of M&amp;A transactions. The second level is devoted to the analysis of transactions in the concrete industry, namely the US IT sector, where the largest companies in the industry as a whole are represented. Data collection was carried out in a digital environment by parsing tools, automated Python tools. Data analysis and processing was carried out using STATA software, namely, regression analysis was carried out, according to the results of which the best model was selected from OLS models, models with fixed effects and with random effects. This technique was followed at both levels of the study. The number of mergers and acquisitions is set as a dependent variable. Based on the results of the model construction, it was possible to identify significant factors at each level, at the country level, these determinants were GDP per capital, unemployment rate (UR), government bonds yield, business freedom index, the number of patent applications, market capitalization of domestic companies and domestic credit to private sector. When analyzing the IT sector, the return on assets, the size of the company, total return, price-to-equity and current ratio turned out to be significant factors. This work contributes to the issue of the impact of the specifics of the country on the number of mergers and acquisitions around the world.