Homogeneity of Determinants in the Financial Sector and Investment in EU Countries

Urbánková, Erika; Krizek, David

doi:10.3390/economies8010014

Cited by 6 publications

(6 citation statements)

References 40 publications

(26 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The homogeneity of the economic sectors of the E.U., countries is assessed by the method of correlation calculation and hierarchical cluster analysis Urbankova and Krizek (2020).…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Co-movement in Stock Indices and GDP During the COVID-19 Period in the Countries of the European Union

Török¹

2021

ERSJ

View full text Add to dashboard Cite

Purpose: Macroeconomic research rarely analyzes the short-run relationship between stock market indices and GDP. The study seeks to answer how close the two indicators are in the short term in times of crisis. Design/Methodology/Approach: The stock market crisis caused by the COVID-19 pandemic has also developed in the European Union member states. Following the low of the European stock market in March, there was a relatively rapid rebound. There was a decline in the third quarter and strong growth in the fourth. As a result of the fear caused by the epidemic, national economies were shut down to varying degrees by governments, leading to a decline in GDP as early as the first quarter. This decline continued in the second quarter, with a strong rebound in the third and a moderate rise in the fourth. The research methodology is correlation calculation and hierarchical cluster analysis. The research hypothesizes that in the short run, stock market indices moved along with GDP. The positive correlation between the two indicators can be assumed because investors' decisions were influenced by the decline in GDP due to COVID-19. The hypothesis was not met, only in four countries, the study confirmed the co-movement of indicators. Findings: The hypothesis of the research was not fulfilled, in the majority of the EU member states, the two indicators did not change together, they did not move in the same direction. The negative correlation coefficient for the Union as a whole (r = -0.16028) means that the indicators moved in the opposite direction. Of the 27 Member States, 23 were characterized by this opposite movement. Practical Implications: The study's empirical results draw the attention of investors, risk managers, and economic policymakers to the fact that short-term changes in GDP do not influence their decision-making. Short-term GDP data are fundamentally inadequate indicators. This means that these data cannot predict with significant accuracy either expected GDP, stock market performance, and many other macroeconomic indicators. Originality/value: The originality and value of the study are given by the fact that it examines a macroeconomic relationship that researchers rarely analyze. The study's empirical results can also be used by risk managers, investors, and economic policymakers.

show abstract

“…The homogeneity of the economic sectors of the E.U., countries is assessed by the method of correlation calculation and hierarchical cluster analysis Urbankova and Krizek (2020).…”

Section: Methodsmentioning

confidence: 99%

“…In the second procedure, I will perform a hierarchical cluster analysis with the correlation coefficients. These two methods are often used by researchers for econometric analysis (Deltuvaité and Sineviþiené, 2014;Urbankova and Krizek, 2020).…”

Section: Methodsmentioning

confidence: 99%

Co-movement in Stock Indices and GDP During the COVID-19 Period in the Countries of the European Union

Török¹

2021

ERSJ

View full text Add to dashboard Cite

show abstract

“…The homogeneity of the market and the similarity of the target audience's features are prerequisites for the effectiveness of market segmentation (Horan, Beck & Tolbert, 1980;Urbankova & Krizek, 2020). According to Kotler and Armstrong (2012), demographics are an important factor in determining the homogeneity of a market group.…”

Section: Homogeneity and Uniqueness Of Market Segmentationmentioning

confidence: 99%

Market Segmentation and Competitive Advantage in Nigerian Telecommunications

Ladipo

Dixon-Ogbechi

Akeke

et al. 2022

Manag: J. Sustain. Bus. Manag. Solut. Emerg. Econ.

View full text Add to dashboard Cite

The purpose of this study is to determine the effect of market segmentation on competitive advantage in the Nigerian telecommunications service sector in the Lagos state. Motivation: The Nigerian government's decision to liberalize the communication industry has increased rivalry among enterprises, implying that a market segmentation approach will improve both transaction flow and the quality of life. As a result, enterprises in the telecommunications sector must look beyond their financial capabilities and concentrate their efforts on developing a market positioning strategy that results in competitive advantage. Therefore, this study seeks to identify segmentation dimensions and their influence on competitive advantage and performance holistically: The focus was designed to establish the effect of factors of market segmentation such as measurability, accessibility, size, homogeneity, uniqueness and sustainability of a market segment on competitive advantage in the Nigerian telecom service industry. Data: A study of some selected telecommunications companies in the Lagos State, Nigeria, was adopted. Both purposive and accidental sampling was used to select a sample of 370 members of the population involved in the study using the Taro Yamane. Tools: Simple percentages and frequency tables were used as descriptive statistics, while Pearson correlation and Regression analysis were used for hypotheses testing. Findings: The study results indicate that measurability, accessibility, uniqueness, and size of a market segment are the most significant market segmentation variables that affect business competitive advantage in the Nigerian telecommunication industry. As such, to achieve competitive advantage through market segmentation, these variables must be well identified and strategically attained. Contribution: By comprehensively integrating and connecting the characteristics of market segmentation to competitive advantage, this study provides an understanding meaning to market segmentation based on the conceptual model. The study's implications for policymakers include that they should enhance these segmentation factors by incorporating additional characteristics outside of market segmentation to complement the market segmentation variables examined in this study in order to maintain competitiveness. Additionally, marketers may leverage customer relationship management (CRM) to create profitable market segments capable of recruiting new clients and lowering customer retention costs.

show abstract

“…Cluster analysis is designed to reduce the size of studied objects by identifying homogenous groups [17]. Clustering of studied objects results in created groups with similar functions (features), where the studied objects in different groups have essentially different functions (features).…”

Section: Differentiating the Level Of Territorial Development Of The ...mentioning

confidence: 99%

Differentiating the Level of Territorial Development of the Transport and Logistics Infrastructure in Ukraine by Adapting the Cluster Analysis Methodology

Hrynchak¹

2020

nasoa

View full text Add to dashboard Cite

Recently, much attention has been paid to the ideas and theories that highlight the cluster approach to the territorial organization of the economic system. Separation and development of transport and logistics cluster contributes to the development of competitive advantages, provides the leading position of the country in the world market and enhances the investment attractiveness of the region in which it operates. The use of a multidimensional statistical method of cluster analysis to determine the homogeneity between the individual regions of Ukraine contributes to the identification of transport and logistics cluster. For this reason, the article analyzes the role of cluster analysis in the study of the development of transport and logistics services, shows that the transport and logistics cluster is formed on the basis of the real socio-economic situation in the conditions of a particular territory, taking into account its potential development. It is substantiated that the transport and logistics cluster, in addition to meeting the needs of the economy, performs a number of important functions: it creates opportunities for the development of sectors of the national economy; contributes to the development of the region's infrastructure; increases the investment attractiveness of the region. The conducted research of existing methods of cluster analysis of grouping of regions of Ukraine by the level and potential of development of the market of transport and logistic services has allowed to allocate the considered ways of estimation of efficiency of functioning of the cluster which differ in external and internal effects. A cluster analysis of the territorial level and potential of logistics development in the regions of Ukraine is carried out on the basis of three groups of indicators (socio-economic, transport performance indicators of the region and indicators characterizing the composition of the transport system of the region and its potential opportunities). As a result of the cluster analysis, the regions of Ukraine were grouped into three clusters by the level of logistics development, and into two clusters by the logistics development potential. It is determined that the classification of regions into homogeneous groups will allow to build in each cluster typologically regressive equations of interaction of market factors, which will increase the accuracy of the study of the dynamics of the development of the market environment of regions of potential placement of elements of transport and logistics infrastructure.

show abstract

Homogeneity of Determinants in the Financial Sector and Investment in EU Countries

Cited by 6 publications

References 40 publications

Co-movement in Stock Indices and GDP During the COVID-19 Period in the Countries of the European Union

Co-movement in Stock Indices and GDP During the COVID-19 Period in the Countries of the European Union

Market Segmentation and Competitive Advantage in Nigerian Telecommunications

Differentiating the Level of Territorial Development of the Transport and Logistics Infrastructure in Ukraine by Adapting the Cluster Analysis Methodology

Contact Info

Product

Resources

About