This work deals with the supervision structure of the EU financial market. The current supervisory framework is the result of recent reforms adopted in response to the global financial crisis. However it seems that it is not able to satisfy all the requirements stemming not only from highly integrated EU financial market environment, but also from the functioning of the single currency and common monetary policy. Therefore the European Commission presented a proposal for the creation of a banking union - single banking supervisor for eurozone countries. It is a solution that could solve many problems of the current system, however it may carry certain risks involved especially in the setting of different conditions between EU countries and between different sectors of the financial market. In the long run, therefore, the European Supervisory System along the lines of the European System of Central Banks would present the most appropriate model for the EU financial market, which should, compare to the banking union, be applied to all sectors and all Member States. Its implementation should, however, be preceded by a consolidation of the economic situation and the harmonization of certain related issues, the functioning of which can significantly affect the whole system.

Une analyse conceptuelle du pouvoir du capital amène à opérer la distinction entre d'une part le pouvoir juridique, et d'autre part le pouvoir économique. Le pouvoir juridique du capital renvoie à la prérogative de l'organe, mais doit surtout être appréhendé conformément à la théorie du pouvoir en droit privé. C'est dire que les actionnaires se doivent d'exercer une prérogative altruiste, dans un intérêt qui les transcende. Intérêt social, intérêt commun, le droit des sociétés s'organise autour d'intérêts transcendants, et donc autour du pouvoir juridique. Pour autant, le pouvoir du capital dans la société anonyme donne lieu à une réflexion rénovée sous l'impulsion des principes de gouvernance d'entreprise. Il s'agit là non plus de la manifestation d'un pouvoir juridique, mais de celle d'un pouvoir économique, dont l'essence est d'opérer la réduction des risques liés à un investissement. L'analyse de ce pouvoir économique amène à douter de sa capacité à réduire effectivement ces risques / A conceptual analysis of the power of capital in a corporation involves distinguishing between legal and economic power. The legal power of capital classically refers to an organic prerogative but also has to be analyzed according to the theory of power in private law. Hence, shareholders have to exercise an altruistic prerogative for the benefit of interests other than their own. Indeed, corporate law is organized around several interests that may conflict with individual shareholder interests, for example the common interest of shareholders or even the purely selfish interest of the corporation. However, this classical theory of legal power is challenged by the doctrine of corporate governance whose current expression of economic power in corporate law can be defined as the capacity of economic entities to reduce risks. By modifying managerial conduct, this doctrine aims to reduce the risks related to the investment in listed companies. Corporate governance is a phenomenon of economic power, not legal power in the corporation. A realistic assessment of this power leads to the conclusion that it is ineffective in reducing investment risks

Cette thèse est consacrée à l'étude de la formation des prix sur les marchés financiers, en particulier lorsque ceux-ci se composent d'un grand nombre d'agents. On commence par l'étude empirique d'un marché émergent -- le bitcoin -- de manière à mieux comprendre comment les actions individuelles affectent les prix -- ce que l'on appelle « l'impact de marché ». On développe ensuite un modèle théorique d'impact basé sur le concept d'agent hétérogène, qui parvient à reproduire les observations empiriques d'un impact concave dans un marché non manipulable. Le cadre de l'agent hétérogène nous permet de revisiter les concepts d'offre et de demande dans un cadre dynamique, de mieux comprendre l'impact du mécanisme de marché sur la liquidité, ou encore de poser les bases d'un simulateur de marché réaliste. On montre enfin, à travers l'étude empirique de plusieurs bulles et crashs sur le marché du bitcoin, le rôle crucial de la micro-structure dans la compréhension des phénomènes extrêmes. / This thesis is devoted to the study of price formation on financial markets, in particular when these are composed of a large number of agents. We start by the empirical study of an emergent market -- the bitcoin -- in order to better understand how individual actions impact prices -- a phenomenon known as « market impact ». We then develop a theoretical model based on the concept of heterogeneous agents, that allows to reproduce the empirical observations of a concave impact in a market that remains non-manipulable. The heterogeneous agents framework allows us to revisit the concepts of supply and demand in a dynamic context, to better understand how the choice of a particular market mechanism can impact liquidity, and to lay some grounds for a realistic market simulator. By studying several bubbles and crashes that happened on the bitcoin market, we finally show how relevant microstructure effects can be, in particular for understanding the occurrence of extreme phenomena.

The Czech National Bank, its legal status and scope of activities Abstract The theme of this thesis is the Czech National Bank, its legal status and scope of activities. The aim of the thesis is to describe and analyse the development of central banking and to evaluate current legal status of the Czech National Bank. Due to the volume of the Czech National Bank's activities, the work is focused only on the supervisory activities of the Czech National Bank and on the examination of the functioning of the unified supervision system. The thesis is divided into five parts. The first part deals with theoretical issues of the emergence of central banking and with the functions of central banks. The following part deals with the development of central banking in the Czech lands from the time of the Austrian Empire until the establishment of the independent Czech Republic. The third part of the thesis describes legal status of the Czech National Bank, its establishment in the Constitution of the Czech Republic, its tasks, objectives and its independence. Furthermore, the thesis describes bank's relationship with other constitutional institutions, its organizational structure, management and regulatory activities. The fourth part of the thesis deals with the supervisory activities of the Czech National Bank. At the...

Die Dissertation untersucht verschiedene Einflussfaktoren auf die Finanzierungskosten von Staaten. Dabei werden die Eurokrise, Rohstoffpreise und Klimawandel als drei wesentliche Einflussfaktoren herangezogen und deren empirische Wichtigkeit statistisch untersucht. Ein weiterer Artikel beschäftigt sich mit der Integration von Finanzmärkten auf die Ausbreitung von Konjunkturzyklen.:Chapter 1: Introduction 1 1.1 Motivation: The Curious Case and Multiple Facets of Sovereign Debt . . . . 1 1.2 Outline and Contribution of this Thesis to the Literature . . . . . . . . . . . 6 A.1 Appendix to Chapter 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 References to Chapter 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Chapter 2: Avoiding the Fall into the Loop: Isolating the Transmission of Bank-to-Sovereign Distress in the Euro Area 19 2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 2.2 Literature Review . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 2.3 Data Description . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 2.3.1 Deriving Country-Specific Bank Distress . . . . . . . . . . . . . . . . . 24 2.3.2 Instrumenting Bank Distress using Exposure-Weighted Stock Market Returns . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 2.3.3 Set of Dependent and Explanatory Variables . . . . . . . . . . . . . . 30 2.3.3.1 Dependent Variable . . . . . . . . . . . . . . . . . . . . . . . 30 2.3.3.2 Control Variables . . . . . . . . . . . . . . . . . . . . . . . . 33 2.4 Empirical Specification and Results . . . . . . . . . . . . . . . . . . . . . . . . 35 2.5 Robustness . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 2.5.1 Comparison of IV and OLS during Eurozone Crisis . . . . . . . . . . . 38 2.5.2 Alternative Versions of the Dependent Variable . . . . . . . . . . . . . 40 2.5.3 Alternative Versions for Bank Distress Variable . . . . . . . . . . . . . 41 2.5.4 Alternative Versions for Instrumental Variable . . . . . . . . . . . . . 42 2.5.5 Strengthening the Exclusion Restriction of the Instrument . . . . . . . 46 2.5.6 Weekly Frequency . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48 2.5.7 Alternative Control Variables and Time Fixed Effects . . . . . . . . . 49 2.5.8 Wild Cluster Bootstrapping . . . . . . . . . . . . . . . . . . . . . . . . 52 2.6 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 A.2 Appendix to Chapter 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54 A.2.1 Drivers of Bank-to-Sovereign Distress Transmissions . . . . . . . . . . 54 A.2.1.1 Macroeconomic Performance . . . . . . . . . . . . . . . . . . 57 A.2.1.2 Government Bond Issuances, Redemptions and Holdings . . 62 A.2.1.3 Banking Sector Structure and Stability . . . . . . . . . . . . 66 A.2.1.4 Political Stability . . . . . . . . . . . . . . . . . . . . . . . . 72 A.2.2 Additional Tables and Figures . . . . . . . . . . . . . . . . . . . . . . . 77 References to Chapter 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82 Chapter 3: What drives the Commodity-Sovereign Risk Dependence in Emerging Market Economies? 87 3.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87 3.2 Data, Variables and Summary Statistics . . . . . . . . . . . . . . . . . . . . . 92 3.2.1 Dependent Variable: Sovereign Default Risk . . . . . . . . . . . . . . . 92 3.2.2 Deriving Country-specific Commodity Performance . . . . . . . . . . . 94 3.2.3 Set of Control Variables . . . . . . . . . . . . . . . . . . . . . . . . . . 97 3.3 Empirical Strategy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98 3.3.1 Baseline Specification and Results . . . . . . . . . . . . . . . . . . . . 98 3.3.2 Alternative Specifications . . . . . . . . . . . . . . . . . . . . . . . . . 101 3.4 Drivers of the Commodity-Sovereign Risk Dependence . . . . . . . . . . . . . 104 3.4.1 Commodity-related Factors . . . . . . . . . . . . . . . . . . . . . . . . 105 3.4.2 Macroeconomic and International Factors . . . . . . . . . . . . . . . . 110 3.4.3 Policy Measures against Commodity Dependence . . . . . . . . . . . . 117 3.5 Robustness Checks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127 3.5.1 Dropping Countries with Liquidity Issues . . . . . . . . . . . . . . . . 127 3.5.2 Alternative Specifications for EMBI and Commodity Performance . . 129 3.5.3 Alternative Control Variables . . . . . . . . . . . . . . . . . . . . . . . 130 3.5.4 Alternative Fixed Effects, Frequency, Clustering and Time Series Results131 3.6 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136 A.3 Appendix to Chapter 3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138 References to Chapter 3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142 Chapter 4: Financial Linkages and Sectoral Business Cycle Synchronization: Evidence from Europe 145 4.1 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145 4.2 Empirical Strategy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147 4.2.1 Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147 4.2.2 Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155 4.3 Estimation Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157 4.3.1 Results for Overall Output Fluctuations (GDP) . . . . . . . . . . . . . 157 4.3.2 Results for Industrial Output Fluctuations . . . . . . . . . . . . . . . . 162 4.4 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166 A.4 Appendix to Chapter 4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167 References to Chapter 4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180 Chapter 5: Physical Climate Change Risks and the Sovereign Creditworthiness of Emerging Economies 182 5.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182 5.2 Physical Climate Change Risk . . . . . . . . . . . . . . . . . . . . . . . . . . . 187 5.2.1 Physical Climate Change Risk in Contrast to Transition Risk . . . . . 187 5.2.2 Physical Climate Change and Sovereign Creditworthiness . . . . . . . 189 5.3 Data and Descriptive Statistics . . . . . . . . . . . . . . . . . . . . . . . . . . 191 5.3.1 Sovereign Creditworthiness . . . . . . . . . . . . . . . . . . . . . . . . 191 5.3.2 Temperature Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192 5.4 Empirical Specification and Results . . . . . . . . . . . . . . . . . . . . . . . . 195 5.5 Channels of Temperature-Sovereign Risk Connection . . . . . . . . . . . . . . 197 5.5.1 General Warmness . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199 5.5.2 Seasonality . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203 5.5.3 Month and Season Effects . . . . . . . . . . . . . . . . . . . . . . . . . 205 5.5.4 Economic Sector Specialization . . . . . . . . . . . . . . . . . . . . . . 208 5.5.5 Institutions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 210 5.5.6 Combining relevant Channels . . . . . . . . . . . . . . . . . . . . . . . 215 5.6 Robustness Tests . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 218 5.6.1 Changing the Fixed Effects Specification . . . . . . . . . . . . . . . . . 218 5.6.2 Changing the Dependent Variable . . . . . . . . . . . . . . . . . . . . 220 5.6.3 Changing the Lag Structure . . . . . . . . . . . . . . . . . . . . . . . . 221 5.6.4 Changing the Historical Temperature Average Period . . . . . . . . . . 222 5.6.5 Dropping Countries with lower Data Coverage and larger Landmass . 226 5.6.6 Other Temperature Anomaly Measures . . . . . . . . . . . . . . . . . 227 5.6.7 Analyzing Debt Sustainability . . . . . . . . . . . . . . . . . . . . . . . 229 5.6.8 Testing for Transition Risks . . . . . . . . . . . . . . . . . . . . . . . . 229 5.6.9 Changing Economic Sector Specialization Measures . . . . . . . . . . . 231 5.7 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233 A.5 Appendix to Chapter 5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 234 References to Chapter 5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 247

This Master's thesis focuses on applying artificial intelligence tools for the prediction of development financial markets. Major emphasis is placed on evaluating the usability of neural networks to determine the prediction in the foreign exchange markets. It is also provided suggestion for fully automated processing of market data and subsequent submitting of trading orders.

This thesis deals with problems of the technical analyses and its usage during creation of the automated trading systems. Theoretical section explains the basic principles of functioning of the monetary market (Forex) and includes technical indicators. Portfolio of strategies, as output of this work, was applied onto monetary pairs of Euro/American dollar and British pound/American dollar. Computer program Adaptrade Builder was used for proposed commercial strategies with help of the genetic algorithms and subsequently tested on the MetaTrader 4 commercial platform.

The thesis deals with designing an automated trading system, especially for intra-day trading the currency markets. The aim is to create a comprehensive theoretical background, practical work knowledge can be used to develop appropriate automated trading system. The thesis is an emphasis on technical and partly a psychological analysis of currency markets. Designed system will be suitably optimized to maximize profits and stability of applications on the most liquid currency pairs.

Chapter 1 Summary of the Dissertation "We are in the golden age of fraud." Jim Chanos, Kynikos Associates, Financial Times 24/07/2020. Beyond the speculations about the consecutive waves of Covid, 2020 will be reminded for one of the most notorious failures of a listed firm, due to a massive accounting fraud: the German payment fintech Wirecard. The firm, with 30 subsidiaries in 26 countries, joined the prestigious DAX index just two years before. The spillovers of the billion-euro fraud range from the arrest of top managers to suspicion of auditors, politicians, and regulatory authorities (BaFin, European Commission, and ESMA), as suggested the Financial Times headline "Why was Frankfurt so blind for so long?"1 Such a failure serves as a reminder of the relevance of financial markets regulation, oversight, and enforcement, in order to protect investors and to encourage compliance with regulations. Research on the relationship between the publication of financial misconducts and financial performance for corporates has continuously grown, as illustrated by the recent in- depth literature reviews undergone by Amiram et al. (2018) and Liu and Yawson (2020). It is fueling regulatory debates on how to enforce more efficiently financial regulations. Some specificities of white-collar crimes must be accounted for...

Magister Commercii - MCom / This study analyses the extent to which stock returns provide forecasts of changes in interest rates and inflation for the South African market. The period under investigation, January 1966 - February 1989, is characterised by structural changes in the South African economy, especially in the financial markets. The earnings yield on shares is used as a measure of the return on stocks. Stock returns of 10 specific industries are used in addition to the overall market return. Monthly inflation series were constructed by employing both the Consumer Price Index (CPI) and the Producer Price Index (PPI). Before examining that relationship, tests were done to examine the relationship between nominal stock returns and expected inflation. The relation between the stock market and expected inflation is estimated by using three measures of expected inflation. The results appear to suggest that the stock market reacted positively to expected inflation during the 1966 - 1982 period. Two proxies of expected inflation. Best results inflation are used to were obtained with measure future the Fama-Gibbons measure. In addition, the results suggest that stock returns provide additional information of future inflation to that contained in the Fama-Gibbons and interest rate models. Returns for specific industries, used in this study, appear to provide marginally better forecasts of inflation than the overall market return. The results also suggest that stock returns provide forecasts of changes in interest rates and inflation. There is no evidence that the specific industries used, provide consistent better forecasts of interest rate changes than the overall market.