Diploma thesis describes the design of business strategy for the beginning investor to the trading world stock markets using the Internet and trading platforms. Describes the current status of the issue, focusing on system analysis given problem. Furthermore, the model describes the selection of trading platforms, brokerage companies and the corresponding stock trading strategies.

This thesis deals with the Forex and trading on it. The aim of this work is to evaluate the possibility of trading primarily for retail investors, for which this financial market is becoming increasingly popular. In the first two chapters, Forex, its characteristic and information about trading are presented. In the next chapter, analysis of exchange rate development is described , both fundamental and technical. More attention is paid to technical analysis. The demonstration of application of technical analysis is presented. The last chapter deals with comparing the selected trading platforms in terms of availability, technical analysis and trading opportunities.

abstract: This dissertation focuses on risk prevention and regulatory issues of financial asset trading platforms, exploring the composition of a financial asset trading platform and its risks, formulating the general framework of platform risk prevention and regulation, and discussing the methodologies for monitoring and managing the risk of financial assets trading platform. The dissertation is divided into eight chapters. The first chapter is the introduction, which discusses the current status in this research field, the motivation and significance of the research topic. The second chapter discusses the transaction cost theory, information asymmetry theory, financial risk management theory, financial supervision theory and other related basic theories related to financial asset trading platform risk prevention and supervision. The third chapter presents the definition, the main types, the generating mechanism and the transmission mechanism of the financial asset trading platform. The fourth chapter elaborates theoretically on the general framework of financial asset trading platform risk prevention and supervision based on the aspects of basic principles, key tasks, applicable methods and constituent elements. The fifth chapter discusses the performance of financial asset trading business, asset return trading business, financing business and information coupling business on financial asset trading platforms, and analyzes the risk prevention of financial asset trading platforms from a business perspective. The sixth chapter discusses the development of financial asset trading platforms in developed countries, and summarizes the experience and practice of their risk prevention and supervision based on four categories of business lines. On this basis, the dissertation draws the inspiration and implications for the future development of the trading platforms in our country. The seventh chapter puts forward policy recommendations regarding risk prevention and supervision of financial asset trading platforms in five aspects: legal positioning, credit information system, protection of consumer rights, self-discipline management and business supervision. / Dissertation/Thesis / Doctoral Dissertation Business Administration 2017

Social trading platforms are an increasingly popular venue for sharing investment ideas. We investigate if followers on these platforms herd, i.e., copy leader traders’ trades, to the extent that it affects stock markets. To do so, we use an event study to detect abnormal returns and trading volume after a trade is conducted by a leader trader. Furthermore, we investigate if the leader trader’s sentiment on the stock and the leader trader’s perceived trustworthiness have explanatory power over the herding behavior. We find signs of herding in terms of abnormal returns within thirty-minutes after the leader trader’s trade. However, we do not find signs of herding for longer event windows, nor do we find that the sentiment of the leader trader can explain herding. Finally, we find some signs that affect-based signals of trustworthiness can explain herding. However, most signals of trustworthiness are non-significant.

This thesis consists of four self-contained papers related to the change of market structure and the quality of equity market. In Paper [I] we found, by using of a Flexible Dynamic Component Correlations (FDCC) model, that the creation of a common cross-border stock trading platform has increased the long-run trends in conditional correlations between foreign and domestic stock market returns. In Paper [II] we study whether the creation of a uniform Nordic and Baltic stock trading platform has affected weak-form information efficiency. The results indicate that the stock market consolidations have had a positive effect on the information efficiency and turnover for an average firm. The merger effects are, however, asymmetrically distributed in the sense that relatively large (small) firms located on relatively large (small) markets experience an improved (reduced) information efficiency and turnover. Although the results indicate that changes in the level of investor attention (measured by turnover) may explain part of the changes in information efficiency, they also lend support to the hypothesis that merger effects may partially be driven by changes in the composition of informed versus uninformed investors following a stock. Paper [III] analyzes whether the measured level of trust in different countries can explain bilateral stock market correlations. One finding is that generalized trust among nations is a robust predictor for stock market correlations. Another is that the trust effect is larger for countries which are close to each other. This indicates that distance mitigates the trust effect. Finally, we confirm the effect of trust upon stock market correlations, by using particular trust data (bilateral trust between country A and country B) as an alternative measurement of trust. In Paper [IV] we present the impact of the stock market mergers that took place in the Nordic countries during 2000 – 2007 on the probabilities for stock price jumps, i.e. for relatively extreme price movements. The main finding is that stock market mergers, on average, reduce the likelihood of observing stock price jumps. The effects are asymmetric in the sense that the probability of sudden price jumps is reduced for large and medium size firms whereas the effect is ambiguous for small size firms. The results also indicate that the market risk has been reduced after the stock market consolidations took place.

在知識經濟的時代大背景下，知識產權交易是知識產權轉化為商品的有效 手段，而知識產權交易平台又是知識產權交易的重要硬體保障。文章分析了中國大陸知識產權交易市場的現狀，分析借鑑了國外優秀交易平台的建設經驗，指出了中國大陸知識產權交易平台中存在的問題，闡述了建設知識產權交易平台的特點、作用與發展定位，結合目前的發展規劃，提出了建立健全知識產權綜合交易平台的構想及具體建議。

Thesis is focused on trading information systems in capital markets. The aim of this thesis is to analyze trading information systems and create model of hypothetical online trading platform. The model should consolidate the knowledge of the existing solutions for trading in the capital market. The thesis is divided into three parts. The theoretical part provides a basic description of trading information systems in the capital market. Second, analytic part of the thesis is focused on structure of brokerage trading information system. The first analysis is focused on analyze portfolio of the current trading platforms offered by brokerage. The second analysis is focused on analyze internal functionality structure of the selected group of trading platform. The aim of this analysis is to find and describe the portfolio functionalities of trading platforms and identified the basis or standard functionalities of trading platforms. Resulting data from second analysis are important for third part for this thesis. Third, main part of this thesis is devoted on creating model of hypothetical online trading platform. This part consist several sets of models and together created one complex model of hypothetical online trading platform.

This graduation thesis is exploring using of Information and Communication Technologies in the course of analysis of capital markets. The basic financial theory is described at the begging of the thesis. After this we investigate information dilemmas. Expansion of information science allowed modern stock exchanges to change their traditional trading model to electronically trading model, which is much cheaper and faster. Stock exchange trading systems, clearing centers, depositors of securities and trading platforms are described in this thesis. These technologies allow us to automate a process of trading. Nowadays the modern stock exchange is a provider of high-quality IT services. In addition, IT offers a number of tools for analysis of capital markets. These tools are applications for technical and fundamental analyses. Stock screeners allowed us to filter a big set of securities. It is the most usable analysis technology. In the last section of the thesis the technical stock screener which allowed identifying market opportunities was created. We used Microsoft Visual Studio 2008 and C# the programming language. We found a volume indicator which allowed us to achieve above-average gain 5% during the analysis of the big set of market data.

Master´s thesis goal that the author hopes to achieve is a design of an application aiding stock technical analysis based on identified needs. Based on analysis regarding modules for technical analysis of current trading platforms, I found out there is a certain space for improvement. Implemented trading rules and technical indicators of the application itself are further examined in terms of prognostic success rate on historical data. Selected chapters of technical analysis are fundamental base for this master´s thesis.