This thesis deals with the relationship of exchange rate theory regarding the currency pair EUR / USD. The theoretical part defines the fundamental issue of exchange rates, exchange-rate regimes and the foreign exchange market, where the exchange rates are made. The crucial part of the theory is devoted to economic theories causing currency movements. In conclusion of the theoretical part attention is also given to econometric methods and statistics time series analysis. The analytical part of the thesis examines the short and long term relationships of purchasing power parity, the theory of parity of interest rates and monetary approach to the exchange rate for the currency pair EUR / USD. A regression analysis is used for investigating short-term relationships, and is applied to the relative changes in the value of the currency pair EUR / USD and the changes in the relative values of the theory of exchange rate determination. The long-term equilibrium relationship is analyzed by using a cointegration analysis, specifically the Engle-Granger and Johansen tests. The estimated results are evaluated and discussed in the final part of the thesis.

The paper examines the hypothesis that the devaluation of the domestic currency leads to the higher exchange rate pass-through at the zero lower bound since the interest rate channel cannot offset effects of the depreciation in that situation. Time-varying vector autoregression with stochastic volatility is used to identify the development of the pass-through. The hypothesis is tested on the Czech dataset because the Czech Republic is considered as the prototypical small open economy with inflation targeting. The assumption of higher pass-through to consumer prices at the zero lower bound is rejected. Obtained results confirm that the deprecation stimulates output growth slightly more when the interest rate is close to zero. Our estimations imply that the exchange rate commitment of the Czech National Bank increased the price level by 0.116 % and contributed to the output growth by 0.781 %.

This thesis discusses the phenomenon of currency crises, in particular it is devoted to empirical identification of crisis periods. As a crisis indicator, we aim to utilize an exchange market pressure index which has been revealed as a very powerful tool for the exchange market pressure quantification. Since enumeration of the exchange market pressure index is crucial for further analysis, we pay special attention to different approaches of its construction. In the majority of existing literature on exchange market pressure models, a currency crisis is defined as a period of time when the exchange market pressure index exceeds a predetermined level. In contrast to this, we incorporate a probabilistic approach using the extreme value theory. Our goal is to prove that stochastic methods are more accurate, in other words they are more reliable instruments for crisis identification. We illustrate the application of the proposed method on a selected sample of four central European countries over the period 1993 - 2012, or 1993 - 2008 respectively, namely the Czech Republic, Hungary, Poland and Slovakia. The choice of the sample is motivated by the fact that these countries underwent transition reforms to market economies at the beginning of 1990s and therefore could have been exposed to speculative attacks on their newly arisen currencies. These countries are often assumed to be relatively homogeneous group of countries at similar stage of the integration process. Thus, a resembling development of exchange market pressure, particularly during the last third of the estimation period, would not be surprising.

The doctoral thesis consists of three essays that address the application of synthetic control method to various economic policy intervention. In the first essay I evaluate the quantitative effects of the Czech National Bank's commitment to keep the Koruna from appreciating that were put in place in 2013. I find that the commitment helped decrease unemployment substantially. The effect on overall output is also strongly positive, almost 2 percentage points for growth in 2015. The effect of the commitment on inflation is positive but not statistically significant at standard levels. In the second essay I focus on the impact of joining the EU on the Czech agriculture. The results show that the Czech Republic would have had a higher food index if it had not entered the CAM and CAP. Moreover, I show that the CAP and CAM had different impacts on farms in the Czech Republic and Bulgaria, which have the most comparable agriculture according to the results of the synthetic control method. In the final essay I estimate how the UK financial markets would have evolved if the Remain camp had won the referendum. The results suggest that there would not have been any significant change in the development of the FTSE 100 Index in the medium to long term if there had not been a referendum. On the other hand, I...

This work deals with the usage of neural network for the purpose of stock market prediction. A basic stock market theory and trading approaches are mentioned at the beginning of this work. Then neural networks and their application are discussed with their deeper description. Similar approaches are referred and finally two new prediction systems are designed. These systems are utilized by proposed trading model and tested on selected data. The results are compared to human and random trading models and new development steps are devised at the end of this work.

This master's thesis investigates the impact of exchange rate volatility on trade balance of the Czech Republic during 2005-2016. The analysis is performed on the constructed panel dataset for 53 trading partners of the Czech Republic by estimating the trade gravity models. The realized volatility values are obtained for 43 Czech koruna pairs against the local currencies. The variables included into the empirical analysis are the GDP and population of the Czech Republic and its trading partners, realized volatility, weighted distance, contiguity, direct access to the sea and information on EU and OECD membership. The methodological approaches in the analysis are calculations of realized exchange rate volatility and for gravity models panel data estimation techniques: pooled OLS, fixed effects and random effects. The gravity models are compared by the formal tests, and the most efficient among them is the fixed effects. The results of the estimated augmented model reveal significant positive impact of exchange rate volatility on trade balance of the Czech Republic. The key variables that have the expected significant positive impact on trade balance are GDP of the Czech Republic and its trading partners in the basic model, population of the Czech Republic and EU membership in the augmented model....

This diploma thesis deals with the comparison of selected leading economic indicators and the real situation that occurred in the Czech Republic between May 2010 and April 2018. With the help of econometric models using the Pearson correlation coefficient and Granger’s causality, this thesis compares the difference between expected development of economic situation and reality for selected indicators. Namely the number of new construction orders, issued building permits, retail sales and the development of the exchange rate of Czech crown against the euro. The result of econometric models showed that expectations regarding the development of economic situation do not correlate significantly with the real situation in the Czech Republic.

This thesis is oriented to The Intensity of Experience and its role in The Dramaturgy of Experiential Courses. The main concepts: The Intensity of Experience and The Dynamics of Experience, are described in the theoretical part. At first, the author defines the concept of The Intensity of Experience, furthermore she describes diferences between The Intensity and Dynamics of Experience in order to implement both concepts into the context of Experiential Education. The second chapter is aimed at Experiential Courses, their background and history, principles of Experiential Education and Dramaturgy of Experiential Education Courses. The main part of the thesis is the third chapter, which is devoted to quantitative-qualitative research. This research is focused on The Intensity of Experience evaluated by the participants, which the author further compares with The Intensity of Experience intended by instructors. The research results indicate differences between The Intensity of Experience intended by the instructor and The Intensity of Experience that participants felt after courses.

This work scrutinises, evaluates and systematises the modern exchange rate theories. Its aim is to familiarise the reader with the concepts of expectation, Purchasing Power Parity and Interest Rate Parity, which together form the basis of the following analysis of monetary and portfolio theories of the exchange rate determination. Then, it provides a comparison of the various approaches to these theoretical frameworks with regard to their respective authors. The paper is concluded by an evaluative description of the conditions under which such theories could be applied.

The diploma thesis deals with currency market analysis. There are three main types of analysis: fundamental, technical and psychological analysis. Each of these methods contains explanation of logic, on which the method is based, its advantages, disadvantages and specific examples of this analysis. Neural networks are furher explained in technical analysis. The practical part of the diploma thesis builds on knowledge of technical analysis and tests functionality of the neural networks in the environment of currency markets. The model is calibrated first and then it is used to predict the development of major currency pairs. The prediction is carried out on a monthly chart for December 2013.