2020
DOI: 10.33271/nvngu/2020-3/164
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Analysis of the impact of intangible assets on the companies’ market value

Abstract: analYSiS of The iMPaCT of inTanGiBle aSSeTS on The CoMPanieS' MarKeT Value Purpose. To determine the impact of intangible assets on the market value of European companies (Germany, France and the United Kingdom) using intellectual data analysis. Methodology. The correlationregression analysis, including Python programming libraries (Pandas, Numpy, Matplotlib, and Seaborn), was used to find the link between market value and intangible assets available to enterprises, which allows conducting analysis and visuali… Show more

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Cited by 16 publications
(14 citation statements)
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“…Methodological aspects of identifying and assessing intangible resources are the subject of many studies (Hellman, 2022;Ievdokymov et al, 2020;Arianpoor, 2021).…”
Section: Entrepreneurship and Sustainability Issuesmentioning
confidence: 99%
“…Methodological aspects of identifying and assessing intangible resources are the subject of many studies (Hellman, 2022;Ievdokymov et al, 2020;Arianpoor, 2021).…”
Section: Entrepreneurship and Sustainability Issuesmentioning
confidence: 99%
“…To control the impact of additional variables that can also affect financial performance measures, in addition to independent variables characterizing intellectual capital (intellectual capital variables), the paper uses two control variables -Size of the company (l_SIZE) and Leverage (LEV). To avoid data distribution skewness, the Size of the company is calculated as the natural logarithm of its total assets (Serpeninova et al, 2022), while Leverage is calculated as the ratio of a company's total debt to its assets (Ievdokymov et al, 2020). The general procedure for calculating all dependent and independent variables used in the article is given in Table 1.…”
Section: Variablesmentioning
confidence: 99%
“…The second R&D variable is the R&D intensity squared, which helps to check the existence of a non-linear relationship between R&D and companies' ROA. In line with the scientific literature on the study topic (Archarungroj and Hoshino, 1999;Natasha and Yanthi, 2009;Nord, 2011;Ayaydin and Karaaslan, 2014;Varahrami, 2015;Ievdokymov et al, 2020;Eldawayaty, 2020) to control for a significant effect of additional variables, it was included several control variables in the panel data regression model: leverage (LEV), size of a company (l_S), and high-tech dummy variable (DHT). LEV and l_S are used to determine how much financing through debts and a company's size could influence ROA.…”
Section: Sources: Developed By Authorsmentioning
confidence: 99%