Diplomová práce se zaměřuje na vymezení teoretické a praktické podstaty intradenního obchodování. To jest použití nástrojů technické analýzy, představení obchodních systémů, výběr brokera a aplikace poznatků a softwarové podpory při uskutečňování obchodů na termínových trzích s důrazem na podkladový nástroj – indexy. Jako o velice důležité součásti intradenního obchodování je také pojednáno o psychologii tradingu, která navzdory své zdánlivé nepodstatnosti je jednou z nejdůležitějších aspektů ziskového obchodování na reálných trzích současně s kvalitním money managementem a řízením rizika. Na základě výzkumu je vytvořen a v této práci prezentován intradenní obchodní systém určen pro ziskové obchodování na burzovních trzích – indexech, a výsledky a zkušenosti s jeho reálným nasazením na světových trzích.

This thesis focuses on automated trading systems for foreign exchange markets. It describes theoretical background of financial markets, technical analysis approaches and theoretical knowledge about automated trading systems. The output of the thesis is set of two automated trading systems built for trading the most liquid currency pairs. The process of developing automated trading system as well as its practical start up in Spartacus Company Ltd. is documented in the form of project documentation. The project documentation captures choosing necessary hardware components, their installation and oricess of ensuring smooth operation, as well as the selection and installation of the necessary software resources. In the Adaptrade Builder enviroment there has been shown the process of developing strategies and consequently theirs characteristics, performance, as well as a graph showing the evolution of the account at the time. Selected portfolio strategy has been tested in the MetaTrader platform and in the end of the thesis is offered assessing achievements and draw an overall conclusion.

This thesis addresses the analysis and design of automatic trading system on currency markets using breakout strategy for capital appreciation for company ALFA – zdravá výživa. The description of implementation of this strategy on chosen trading platform and its summary will represent an output of this thesis.

The thesis deals with the possibility of prediction of the exchange rate on forex. The combination of Elliott wave principle and Fibonacci numbers examines to what extent and in what time periods it is possible to predict exchange rate. The thesis use fundamental analysis and MACD oscillator to confirm the accuracy of this prediction.

The diploma thesis deals with fundamental share analyss in order to propose a variant of investing in shares of selected gold mining companies. The subject is macroeconomic analysis of the environment in which selected gold mining companies operate, gold industry analysis and company analysis comprising evaluation of the development of corporate indicators and their issued shares. On the basis of these analyzes ind inter-company comparison, the most profitable options will be proposed to the management of the hedge fund.

Whether mergers and acquisitions create or destroy shareholder value for acquiring companies has been widely researched and remains fairly inconclusive. The purpose of this research was to study the short term and long term impacts of large acquisitions on the share price performance of acquiring companies using the event study methodology.From a population of 11 062 acquisitions made by JSE listed companies between 1999 and 2008, 39 acquisitions met the relevant criteria of non-occurrence of confounding events and the availability of information. The Cumulative Abnormal Returns of acquiring companies over a short term period surrounding the announcement date and the longer term post-announcement date period were tested to observe whether they were significantly different to zero.Whilst statistically significant Cumulative Abnormal Returns were observed over the short term 3-day event window [-1;+1], no statistically significant Cumulative Abnormal Returns were observed around the remaining five event windows. / Dissertation (MBA)--University of Pretoria, 2012. / Gordon Institute of Business Science (GIBS) / unrestricted

This research project investigated the effectiveness of the Piotroski screen to select financially sound stocks from the upper quintile of high book-to-market value (growth) stocks on the Johannesburg Stock Exchange (JSE). The period chosen for this study was all the years since the publication of the Piotroski screen in 2000 until the most recent financial year, 2011.Although no conclusive evidence was found that the mean returns from the portfolio of financially strong firms that were selected by means of the Piotroski screen were significantly better than the portfolio of value stocks, it was strongly suspected that the small group of firms that were signified as financially the strongest by the Piotroski screen had a decreased probability of containing firms with negative one year buy-and-hold returns compared to the other portfolios. Although the outcome was inconclusive due to small sample sizes, it was also strongly suspected that the one year buy-and-hold strategy yielded returns that were in the order of almost four times better than the five year buy-and-hold strategy.It was recommended that, in order to minimise suboptimal investor behaviour caused by psychological biases on the JSE, investors should adopt a mechanical investment method based on objective financial statement analysis, using the Piotroski screen to select financially strong firms from the pool of value firms. It was further recommended that an annual portfolio balancing strategy should be used. / Dissertation (MBA)--University of Pretoria, 2012. / Gordon Institute of Business Science (GIBS) / unrestricted

Masters of Science / In 1976 Rozeff and Kinney found that seasonality exists in the monthly rates of return on the New York Stock Exchange with peak periods in January. By making use of this information and the fact that the rates of return lag real activity by one month, Chang en Pinegar (1986) indicated that rates of return unidirectionally predict future growth rates in industrial production for large companies. They also found that the seasonal growth rates in industrial production partially reflect the January seasonals in the rates of return for small companies. This is inconsistent with the efficient market hypothesis. Altough numerous studies in South Africa have been conducted on the efficiency of the Johannesburg Stock Exchange, no one has departed from the viewpoint of seasonality. The aim of this study is to investigate the efficiency of the Johannesburg stock Exchange with respect to seasonality in industrial production. It will be shown that there is no relationship between rates of return and real activity in the majority of sectors. The clothing sector is inefficient in the sense that real activity unidirectionally predicts rates of return three months in advance. At a six months lag period there are strong relationships, in both ways, between rates of return and real activity for this sector, that also implies inefficiency. Lastly it will be indicated that the November peaks on the Johannesburg stock Exchange do not coincide with the January peaks found overseas and that they do not lag real activity by one month. In the international research the attention was mainly focussed on the size of companies and stock price sensitivity to changes in industrial production while in this paper it focusses on different sectors.

The aim of the study is to investigate how the share prices of food and fashion companies listed on the Stockholm Stock Exchange OMX have changed from when Covid-19 started until end of April 2020, by studying how stock price, volatility and expected return have affected the development of the stock. Using the financial theories of CAPM model and volatility, we investigate how the stock market has developed during the pre-Covid-19 period in comparison to the period when Covid19 is ongoing. Our results show that the volatility increased a lot after the virus burst out and that the expected return changed to higher and more frequent fluctuations. We also compare the two industries showing that the food industry changed less during the post-Covid-19 compared to the fashion industry.

We use an adversarial expert based online learning algorithm to learn the optimal parameters required to maximise wealth trading zero-cost portfolio strategies. The learning algorithm is used to determine the relative population dynamics of technical trading strategies that can survive historical back-testing as well as form an overall aggregated portfolio trading strategy from the set of underlying trading strategies implemented on daily and intraday Johannesburg Stock Exchange data. The resulting population time-series are investigated using unsupervised learning for dimensionality reduction and visualisation. A key contribution is that the overall aggregated trading strategies are tested for statistical arbitrage using a novel hypothesis test proposed by Jarrow et al. [31] on both daily sampled and intraday time-scales. The (low frequency) daily sampled strategies fail the arbitrage tests after costs, while the (high frequency) intraday sampled strategies are not falsified as statistical arbitrages after costs. The estimates of trading strategy success, cost of trading and slippage are considered along with an offline benchmark portfolio algorithm for performance comparison. In addition, the algorithms generalisation error is analysed by recovering a probability of back-test overfitting estimate using a nonparametric procedure introduced by Bailey et al. [19]. The work aims to explore and better understand the interplay between different technical trading strategies from a data-informed perspective.