This thesis addresses the mechanics of executive remuneration from an unorthodox perspective; the view presented through the lens of imperfect market pricing. Whilst many of the criticisms of existing compensation arrangements are merited, they ignore the integrity of a crucial aspect of the way remuneration awards are calculated; the market pricing mechanism. The original contribution of knowledge of this thesis is to explain how imperfect market pricing undermines the utility of stock-based compensation awards, especially in light of the Global Financial Crisis of 2007-11 (‘GFC’).The existing position with regard to Anglo-American corporate governance emphasises the role of the market in determining optimal governance solutions. However, the market cannot regulate all conflicts. For example, the separation of ownership and control in modern corporations creates an agency problem whereby managerial and shareholder interests may diverge. Public companies therefore use performance-related pay to align the interests of management with those of firm owners. This performance-related pay often includes an element with a specific link to the price of company stock. A by-product of these arrangements is that incentives are created for executives to inflate the value of their companies in order to benefit from short-run price appreciation. This reduces the utility of stock-based pay and encourages market short-termism. There is however, a further fundamental flaw in the use of stock-based pay; it places complete faith in modern finance theory; a theory which asserts that market pricing is flawless (the so-called Efficient Capital Markets Hypothesis). However, financial and asset markets are susceptible to forces which drive prices away from intrinsic value for protracted periods and contribute to serious price distortion. Behavioural finance explains how these distortions occur and provides a more appropriate paradigm for securities market operation. The Financial Instability Hypothesis (‘FIH’) also explains how endogenous instability, emanating from the banking sector, arises as an inevitable consequence of the functioning of the capitalist economy. It further demonstrates how markets may be driven away from fundamental value, how asset bubbles occur, and how the market pricing mechanism is seriously distorted. The most serious recent crisis, the GFC, exhibited the FIH taxonomy. It exposed serious flaws in modern finance theory and revealed the dangers of flawed incentive systems in generating asset bubbles. Executives at financial institutions stand accused of short-termism, over-leveraging and poor risk management. Monitoring of management was impossible to perform effectively due to various behavioural and structural obstacles arising from the size and complexity of the institutions concerned. Moreover, a system of perverse incentives led to the failure of effective regulation of executive compensation.Reform is therefore required. The thesis will conclude with a critical analysis of recent amendments to the regulation of compensation systems at financial institutions. Based on this examination, the thesis will make some proposals for future remuneration packages in the wider economy. These proposals are designed to reduce the potential for financial instability through removing incentives for firm executives to concentrate on short-term results, and emphasize the role of qualitative indices of performance.

The diploma thesis focuses on the problems of regulation of financial intermediaries and reviews the contemporary situation in the financial market of the Czech Republic. In the introductory part subjects that can provide financial services and circumstances under which these services are possible are defined. The introduction also outlines the framework for controlling, its planned development, state institutions supervising this process and the up-to-date state of self-regulation by the financial intermediaries themselves. The main part of the thesis is devoted to contemporary key topics in the field (mis-selling, providing of misleading or incomplete information, reinsurance, promotion of excessive trading, low expertise, reward system etc.), supervision by the state and the attitude of financial intermediaries to these activities.. The aim of the thesis is to find a functional relationship between the set of rules defined by legislation and the internal self-regulatory system of the financial intermediaries.

The impact of Security Transaction Taxes (STTs) on the financial market has been studied by authors for decades, showing mixed results between positive, negative, or insignificant relations between STTs and financial volatility. This thesis adds a new approach to previous studies by taking an innovative long-term approach to the topic, analysing the effect of both the New York State STT (1905 – 1981) and the United States STT (1914 – 1966) on volatility in the New York Stock Exchange (NYSE) and NASDAQ as measured by the S&P500 Index. The period of investigation is from 1950 to 2019. This analysis reveals a negative relation between the NY STT and volatility when those are computed in long periods of time, implying that the presence (and increase) of STTs lead to a reduced volatility in the financial market. When breaking the analysis down into shorter periods of time the relationship between STTs and financial volatility proved to be insignificant. At the same time, the US STT is not statistically significant neither in the long-term nor in any of the separated shorter analysed periods. This thesis therefore highlights the relevancy of performing long-term studies rather than short-term ones which has been the focus of previous research.

The great recession of 2008-2010 has impacted the world's economy, which has begun with the sub-prime crisis in the US subprime mortgage market and subsequently spread to the world economy through the contagion effect. Moreover, the influence of the recession on the other nation's economy has been markedly differentiated, depending on their vulnerability to financial system problems (credit crunch, liquidity inflows). Some countries were hit very hard and experienced a drop in GDP, rising unemployment, etc. However, other countries were affected slightly, or the direct effects on them were not visible. Similarly, Central and Eastern Europe (CEE) countries have experienced a very differentiated course of the crisis. As a result of the recession, economic policymakers have tightened financial supervision and regulatory frameworks. This study adopts seven Eastern and Central European Countries (Poland, including Czech Republic, Hungary, Romania, Slovakia, Lithuania and Bulgaria) and analyzes the effect of recession on the stock market of the selected countries. The relevant leading stock market indices of individual countries are adopted as an indicator of the development of the financial market. Monthly data for January 2000-May 2021 is used, and this period is further divided into two samples...

The diploma thesis is focused on robotic proces automation of sending financial contracts for barrier option product. Thesis also deals with proces mapping and process improvement thanks to implementation of SWIFT systém and automatic data routing to all systems.

The objective of this thesis is to evaluate the possibility of creating a tool capable of predicting commodity prices. Along with other business strategies, tools and markets analyses for financial and capital markets, this tool should help make the best estimate of future developments on the observed markets. The main market, on which this work is focused, is the agricultural commodities market, namely corn and its related markets. The fundamental basis upon which the arguments in this thesis are built, is the use of artificial intelligence, particularly neural networks. The whole application is presented using a graphical user interface that allows even those with little or no understanding of this field to delve deeper into the interesting area - using modern computer systems to support trading activities.

This thesis focuses on the problem and application of artificial intelligence on the financial market. Especially, the use of artificial neural networks to forecast values and determine the trend of the selected investment instrument. Solution is created in the development environment Matlab.

This thesis deals with the design of a model for trading on financial markets by using artificial intelligence. The work describes some methods of artificial intelligence, description of financial market and stock market trading. The result of this work is a model of an expert system which uses fuzzy logic for investing and a functional model for predicting the course of shares trends using artificial neural networks. Both models algorithms were designed and tested in MATLAB.

This MSc Thesis was performed during a study stay at the Hochschule Furtwangen University, Furtwangen, Germany. This Master Project provides a theoretical background for understanding financial market principles. It focuses on foreign exchange market, where it gives a description of fundamentals and price analysis. Further, it covers principles of high-frequency trading including strategy, development and cost. FIX protocol is the financial market communication protocol and is discussed in detail. The core part of Master Project are sorting algorithms, these are covered on theoretical and practical level. Aggregator design includes implementation environment, specification and individual parts of aggregator application represented as objects. Implementation overview can be found in last Chapter.

This dissertation is structured as three essays on real estate investment trusts and financial markets. It addresses the financial performance and systematic risk of different REIT types, the information content of REIT bankruptcies, and the effect of recent tax law changes on the REIT industry.