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Evaluation of the Financial Situation of a Company and Proposals for its Improvement
Jelínek, Petr ; Sobotková, Nikola (referee) ; Bartoš, Vojtěch (advisor)
The bachelor thesis deals with the assessment of the financial situation of SMC Industrial Automation CZ s. r. o. in the years 2018-2022. The work is divided into 3 parts. The first part is the theoretical part, where the basic concepts of financial analysis and their indicators are described. The second part is practical, which includes the calculation and evaluation of individual indicators. The last part is a proposal, where there are possibilities for improving the financial situation of the company. These proposals were consulted with the management of the company.
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Evaluation of the Financial Situation of a Company and Proposals for its Improvement
Hlavica, Lukáš ; Koláčná, Veronika (referee) ; Bartoš, Vojtěch (advisor)
The bachelor´s thesis deals with the financial situation of the company LAPP Kabel Czech Republic, s. r. o. for the period 2018 to 2022 and derives proposals for improving its financial situation. The thesis is devided into four main parts. The first part defines the objectives and methodologies for the elaboration of this thesis. The second part focuses on the theoretical foundations, in which basic concepts are thorougly described and selected indicators are defined. The third part is practical, in which theoretically described concepts and defined indicators are used to compile a financial analysis of the company. The fourth and final part is dedicated to proposals for improving the company´s financial situation.
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Evaluation of the financial health of the companies involved in the network
ŠINDLEROVÁ, Sandra
This thesis analyzes an inter-business network, focusing on the financial analysis of the individual entities of this network and a detailed study of the financial health of the companies of which it is made of. At first, the theoretical presents methods and indicators in the field of financial analysis. Subsequently, cluster analysis is applied to research similarities between individual entities in the network and to create clusters, which contributes to a better understanding of the structure of this network. Subsequently, the network economics and the analysis of the structure of the core and periphery are defined. The practical part is devoted to a selected business network and characterizes the businesses of this network in more detail. It mainly includes the analysis of the business network using selected prediction models and financial indicators. Furthermore, the results of the prediction models are used for further analysis using cluster analysis. At the end of this work, the achieved results will be summarized and gradually evaluated. In the last part of this work, specific recommendations are formulated based on the results of this work and the conclusion of this work, resulting from the performed analysis, is determined here.
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Assessing Selected Indicators of a Company Using Time Series Analysis
Odehnal, Ondřej ; Husseinová, Antonie (referee) ; Doubravský, Karel (advisor)
This thesis deals with the problems of the current financial indicators of the company ELKOV elektro a.s. This work focuses on the use of analysis of selected financial indicators that assess the financial health of the company and statistical tools with which their development is determinated. The aim of the work is to assess the current situation of the company and identify appropriate solutions from unfavorable values and development that would improve the financial situation of the company.
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Assessing Selected Indicators Using Time Series Analysis
Travencová, Darina ; Mach, Zdeněk (referee) ; Doubravský, Karel (advisor)
The master´s thesis evaluates the economic situation of the company SCHWARTZ TECHNICKÉ PLASTY ČR s. r. o. using statistical methods. The theoretical part describes the issues necessary for the practical part, financial indicators, time series, regression and correlation analysis. In the practical part is an analysis of selected indicators of financial analysis, then statistical methods are used to predict future developments for the coming two years and to detect dependencies between the indexes. The last section contains suggestions for improving the current situation, which are based on calculations from the practical part.
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