The objective of this thesis was to determine relation between macroeconomic indicators development and the development on the capital market in the Czech Republic in phase 2000 {--} 2005. The description of macroeconomic development and the development on the capital market is partial objective. Also this thesis describes changeover from centrally planned economy system to free market economy before year 2000, actual development, trends and determining factors. The evaluation of the relationship between macroeconomic indicators development and the development on the capital market was based on a macroeconomic part of the fundamental analysis.

The diploma Thesis objective is analysis of macroeconomic development of Belarus during years 2000-2011. I've decided to focus on the effects of monetary policy that was executed by the central bank in particular years. The final outcome of the macroeconomic analysis is the evaluation of the success of monetary policy executed by the central bank.

This study investigated the relationship between Sweden’s CO2e (Carbon Dioxide Equivalent) emissions and key macroeconomic factors, for the period 2008Q1- 2022Q3. The aim was to enhance the understanding of the link between macroeconomic factors and greenhouse gas emissions in a post-industrial economy, using multiple regression analysis. The study identified several significant macroeconomic factors affecting CO2e emissions and examined the extent to which these variables explain the fluctuations in Sweden’s emissions. Additionally, the study assessed the validity of the Environmental Kuznets Curve and Porter Hypothesis within Sweden’s environmental context. In the study, two multiple regression models were developed. Model 1 had an R^2 of 0.90, using the macroeconomic variables Industry Fuel Consumption, Population, Net Export, and Oil Prices. However, since the first model displayed moderate autocorrelation, a second model was also built by introducing a lagged dependent variable which yielded an R^2 of 0.92. / Denna studie undersökte förhållandet mellan Sveriges CO2e (koldioxidekvivalent) utsläpp och centrala makroekonomiska faktorer för perioden 2008K1-2022K3. Syftet var att öka förståelsen för sambandet mellan makroekonomiska faktorer och växthusgasutsläpp i en postindustriell ekonomi, med användning av multipel regressionsanalys. Studien identifierade flera betydande makroekonomiska faktorer som påverkar CO2e-utsläpp och undersökte i vilken utsträckning dessa variabler förklarar fluktuationerna i Sveriges utsläpp. Dessutom utvärderade studien giltigheten av Miljökuznetskurvan och Porters hypotes inom ramen för Sveriges miljökontext. I studien skapades två multipel regressionsmodeller. Modell 1 hade ett R^2 på 0,90, med de makroekonomiska variablerna Industriell Bränsleförbrukning, Befolkning, Nettoexport och Oljepriser. Eftersom den första modellen visade måttlig autokorrelation byggdes dock även en andra modell genom att införa en fördröjd beroende variabel, vilket resulterade i ett R^2 på 0,92.