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Swedish Companies´ Perception of Quarterly ReportsWiklund, Daniel, Sölgén, Samuel, Olsson, Oskar January 2008 (has links)
<p>Aim of the Thesis: To investigate from a company’s perspective if the pressure for companies to produce quarterly reports has turned away their attention from working towards long-term value creation. The companies investigated are listed on the large-cap section on the Swedish stock exchange (OMX Nordic Exchange Stockholm AB).</p><p>Methodology: A quantitative approach has been used and empirical data has been collected through questionnaires. The data has been analyzed and presented with descriptive statistics.</p><p>Theoretical Perspectives: A literature review has been conducted and resulted in a theoretical framework illustrating the concepts of quarterly reporting, long-term value creating, short-termism and forecasting.</p><p>Empirical data: The empirical data was collected by distributing questionnaires to the companies listed on the large-cap section of the OMX.</p><p>Conclusion: Companies listed on the large cap section of the OMX do not perceive that the pressure to produce quarterly reports affects them in a negative way. The study also showed that many companies lack awareness of the risks associated with short-termism.</p>
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Swedish Companies´ Perception of Quarterly ReportsWiklund, Daniel, Sölgén, Samuel, Olsson, Oskar January 2008 (has links)
Aim of the Thesis: To investigate from a company’s perspective if the pressure for companies to produce quarterly reports has turned away their attention from working towards long-term value creation. The companies investigated are listed on the large-cap section on the Swedish stock exchange (OMX Nordic Exchange Stockholm AB). Methodology: A quantitative approach has been used and empirical data has been collected through questionnaires. The data has been analyzed and presented with descriptive statistics. Theoretical Perspectives: A literature review has been conducted and resulted in a theoretical framework illustrating the concepts of quarterly reporting, long-term value creating, short-termism and forecasting. Empirical data: The empirical data was collected by distributing questionnaires to the companies listed on the large-cap section of the OMX. Conclusion: Companies listed on the large cap section of the OMX do not perceive that the pressure to produce quarterly reports affects them in a negative way. The study also showed that many companies lack awareness of the risks associated with short-termism.
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Dina pengar - Ditt förnuft : En kvantitativ studie om psykologiska faktorer och prognosers inverkan på aktieägarnas investeringsbeslutKifork, Sandra, Issa, George January 2016 (has links)
Purpose: The purpose of this paper is to examine if underlying psychological factors have an impact on shareholders' investment decisions and if forecasting quarterly reports have an impact on shareholders' investment decisions. Methods: The study combines an application of two different methods, survey and an event study. The purpose of the survey was to investigate if psychological factors interfere with shareholders' investment decisions. The Event study is designed to measure equity market reaction to the forecasts and if any changes occurred in the companies' share price. Theoretical: This study is based on established theories in the fields of behavioral finance, the efficient market hypothesis and the economic man. Conlusion: Underlying psychological factors have a certain impact on the shareholders' investment decisions. Both events study and survey, in particularly the part of the survey, which includes forecasts, showed that the shareholders are not affected by the forecasts published by market analysts.
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Analýza současných statistických výkazů a SW možností pro hodnocení energetických soustav / Analysis of current statistical reports and SW tools for evaluation of energy systemsPololáník, Pavel January 2021 (has links)
Diploma thesis deals with the issue of statistical reporting Energy regulátory office ČR. The introduction describes the contents regularly published reports on the operation of the electricity system in the Czech Republic. In the thsis deals with the analysis of statistical reports. Processing code in Python and describes its implementation in analytical platform KNIME.
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