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National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
An examination of financial efficency of the company using time series analysis
 Sedmera, Tomáš ; Zeman, David (referee) ; Doubravský, Karel (advisor)
The aim of the present thesis is to apraise of a company performance by time series. The data sources for the appraisal are materials provided by Wera Werk, s. r. o. accounting department. The first part of the thesis focuses on two theoretical aspects: a financial analysis and time series. The pieces of knowledge gained from the theoretical parts are used for the financial accounting data analysis of the company (balance sheet, profit and loss statement). The practical part of the thesis deals with the calculation of selected financial indicators over a given time period. By selecting the data from a sequence of time periods, the time series are created. The regression analysis is then applied to predict the trend. After taking all the above mentioned steps and evaluating the processed date, the arisen problems are analyzed. The last part of the thesis aims at finding solutions to the possible problems or improving the existing situation. In this part the terms for the plan execution are outlined. The determination of expenses resulting from the plan execution is included.
Detailed record
An examination of financial efficency of the company using time series analysis
 Sedmera, Tomáš ; Zeman, David (referee) ; Doubravský, Karel (advisor)
The aim of the present thesis is to apraise of a company performance by time series. The data sources for the appraisal are materials provided by Wera Werk, s. r. o. accounting department. The first part of the thesis focuses on two theoretical aspects: a financial analysis and time series. The pieces of knowledge gained from the theoretical parts are used for the financial accounting data analysis of the company (balance sheet, profit and loss statement). The practical part of the thesis deals with the calculation of selected financial indicators over a given time period. By selecting the data from a sequence of time periods, the time series are created. The regression analysis is then applied to predict the trend. After taking all the above mentioned steps and evaluating the processed date, the arisen problems are analyzed. The last part of the thesis aims at finding solutions to the possible problems or improving the existing situation. In this part the terms for the plan execution are outlined. The determination of expenses resulting from the plan execution is included.
Detailed record

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