Hodnocení finanční výkonnosti v automobilovém průmyslu

Abstract

The doctoral dissertation is devoted to the financial analysis of the automotive industry. The automotive industry is one of the crucial sectors in the economy of the Czech Republic, and its performance significantly influences the country`s total economic performance. The objective of the doctoral dissertation is to evaluate the financial performance, including explaining factors of the Czech automotive sector NACE 29 in the period from 2008 to 2022, for tactical and strategy decision-making. The particular objectives are the evaluation of the Czech automotive sector development, including determining factors, and furthermore, the assessment of applied analysis methods. The dissertation consists of a section devoted to descriptive analysis and static analysis, including sensitivity analysis and risk analysis of the sector's financial performance. The horizontal, vertical and vertical-horizontal deviation analyses are applied. The logarithmic, functional and sensitivity methods are used. For the risk analysis problems, the decomposition variance analysis method is used. The result of the dissertation is a detailed description of the sector NACE 29 development with emphasis on economic and non-economic shocks. There were identified the development phase for 15 years, including the reasons and consequences of the shocks. Due to the static analysis two alternatives of the EVA indicator decomposition were identified inter-year impacts. These results were supplemented by the sensitivity analysis of chosen factors. It was shown that the functional and logarithmic method leads to similar results. The long-term aspect of risk and volatility of the financial performance was investigated due to the variance decomposition analysis method, and the crucial impacts were determined. Provided evaluation can serve to analytic and managerial workers for the tactical inter-year and also for strategic long-term decision-making. Outputs of the dissertation can be grasped by managers at middle and top levels of management.

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Subject(s)

Financial performance, automotive industry, economic value added, return of equity, static methods, dynamic methods, deviation analysis, risk analysis, logarithmic method, functional method, sensitivity analysis, decomposition variance analysis.

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