Automatization is higly used in stock traiding. The thesis try to exploid optimalization principles and machine learning. Developed and tested stock traiding system proces financial time series and generate optimal strategy

Inom den utförda studien har både finansiell data och information kring ägarstruktur gällande företag på svenska OMX Stockholm Small-Cap listan använts för att undersöka ifall andelen privata småsparare har en signifikant påverkan på volatiliteten. Volatilitet har en väsentlig roll när det kommer till aktiehandel och tidigare teorier pekar på att det finns ett flertal variabler som ligger bakom volatiliteten, småägare är en av dessa variabler. Utifrån regressionsanalysen kan andelen privata småsparare påvisas ha en signifikant påverkan på volatiliteten. Det framkom även utifrån resultaten att bolagens resultat dividerat med deras totala tillgångar var ett mått som påverkade volatiliteten. Flera variabler som enligt tidigare teori bör ha verkan på volatiliteten kunde inte påvisas att överensstämma med den här uppsatsens forskning som till exempel institutionella ägares påverkan. / In the following study both financial and ownership data have been gathered regarding companies listed on the Swedish OMX Stockholm Small-cap list to determine whether the fraction of small private investors have an significant impact on volatility. The reason is because volatility has a central role within the stock market making it an important variable. Previous theories suggest that a number of different variables that affect the volatility, where small private investors are one of them. Our regression model proves that the fraction of small private investors indeed have a significant effect on volatility. Our results also suggest that the company’s earnings divided by its total assets is a variable which alters the volatility. Multiple variables which were suggested by theories to have an impact on volatility could not be proven to be true, one of these variables were institutional owners.

This master thesis evaluates about investing in the currency market, commonly known as Forex. The master thesis is primarily deal with proposal of automated trading system for trading in major currency pairs using breakout strategies. These strategies creation is based on market analysis, volatility, correlation and analysis revealing patterns of time during the trading day. In practical part is formed diversified investment portfolio composed of five investment profitable strategies, which were used during four-month testing period on unknown market data.

The master thesis deals with proposal of automated trading system and its implementation in the Foreign exchange market environment. This system will be developed as investment model based on the analyzes performed and then tested on real data to achieve maximum stability and profit.

p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 11.0px Helvetica} Automatization is higly used in stock traiding. The thesis try to exploid optimalization principles and machine learning. Developed and tested stock traiding system proces financial time series and generate optimal strategy

The main aim of the dissertation thesis is a case of the right deduct to input VAT which let companies to be involved into carousel frauds. The thesis analyses the related cases and examines in which conditions it may be legitimate to entitle the right to deduct recognize and when it is not. It also discusses the possible ways how to deal safely with partners. Moreover, it also examines which steps need to be taken into the consideration to reduce tax evasion on VAT which have been done recently in the Czech Republic.