We are living in the era of financial uncertainty and high volatility on financial markets. According to some experts, these circumstances will have a significant impact on the investment conventions of Czech investors in the future. Economists are afraid of even stronger conservatism and skepticism on the field of investment tools. The gab between the yield of Czech and American or Australian family portfolio will be most probably deepen thanks to this. My master thesis has the goal to briefly define financial products which are available for Czech investors. Furthermore I also explain reasons of significant differences between the average portfolio of assets and credits of Czech, eastern and western European family.

The thesis reflects current issue of banking M&A in Europe and its consequences in the regulatory and supervisory area. The thesis sets a general topic of M&A into context of the banking industry. It drops the typology of consolidation entities, methods and reasons for consolidation. It examines the regulatory framework with accent on contemporary trends, namely the financial crisis and its impact into the regulatory and supervisory framework.

In the thesis we focus on involving Agent-based models in modeling financial markets. In Agent-based models of economical systems, often called Agent-based computational economics (ACE), market price is established by actions and interactions of autonomous agents using heuristics or simple decision-making rules. This approach to modeling of financial markets provide us with better understanding of establishing market price then aggregate economical models which focuses exclusively on societally "optimal" equilibria assuming that they are achieved by informed and rational behavior of people. The thesis consists of two main parts. The first one, theoretical, is an introduction to agent based modeling, bounded rationality and social network Our concern in the second part of the thesis is a model of volatility on financial markets. This model is interesting example of agent based approach to creating economical models. However it contains some non-realistic assumption from which the most controversial is the space where agents interacts -- two dimensional lattice. In this part of the work the model is converted from two dimensional lattice to the networks which better corresponds to real social networks but we also experiment with another extension of the agent's decision-making function. The intended outcome of the work is verifying the quality of the model, to learn the effect of our model extensions on price volatility, overview of attributes of the particular networks and discussion whether such models could provide some valuable information to the economist which are interested in financial markets.

This diploma thesis is focused on designing a prototype Business Intelligence solution for a company operating in financial markets. The company does not possess a full-scaled system for measuring enterprise performance and performs this task by the means of manual data collection. The current system is not sufficient for covering the growing number of the com-pany's dealings. The theoretical part of the thesis deals with introducing basic principles of Enterprise Per-formance Management, Balanced Scorecard and, subsequently, Business Intelligence. The practical part covers the defined strategic goals of the company using the Balanced Sco-recard method. The discovered strategic goals are transposed into a strategic map. Metrics for measuring these goals are assigned to them. Only some of the goals are chosen for the implementation of the Business Intelligence solution. Source data for assessing the reached values are defined for the given indicators. Data from the data source were transposed into the data hub. Subsequently, an OLAP cube connected to a reporting tool for displaying the calculated metrics is created.

This diploma thesis deals with a business plan of a private company JKWM operating in a business of financial services. JKWM offers to its client's advisory services and specializes in credit advisory and distressed capital solutions. In theoretical part of the thesis were covered necessary information and legislative demands for doing business in financial intermediary services and lending. In practical part of the thesis is a business plan itself with predicted future development and estimated financial results. Significant amount of chapters of the thesis is devoted to recent developments in an economic environment and to credit market analysis. Author provides a risk analysis of lending operations and marketing strategy of the company. Conclusion covers market share potential, evaluates credibility of the planned financial results and identifies an opportunity to establish and manage a fund of qualified investors.

The aim of this thesis is to evaluate the possibility of household investment in the money market in the Czech Republic. In the theoretical section we can find details of the cash market and its segments. Followed by financial institutions and relevant indicators influencing investor decisions. The practical part is focused on specific financial products. They are mutually compared and evaluated in terms of availability and suitability for the small investor. Return, risk and liquidity are also taken into account.

Denna studie har genomförts i syfte att undersöka påverkan på svenska banker under och efter införandet av direktivet Market in Financial Instruments Directive (MiFID) IIs transparenskrav. Efter reguljära brister på den finansiella marknaden utformades det nya direktivet för att stärka transparensen för samtliga aktörer. Problematiken finns i eventuella risker som uppstår vid ökat krav på transparens och hur bankerna hanterar dessa samt hur den asymmetriska informationen påverkas på marknaden mellan konsument och företag. Studien är av kvalitativ art och den primära källan består av intervjuer med utvalda aktörer på den svenska bankmarknaden. Resultatet visade att respondenterna ansåg att en gräns för öppenhet inte existerar och att transparens därmed inte kan bli för hög. Med de nya transparenskraven sågs en positiv effekt på marknadskvaliteten då ökade krav lett till högre disciplin och därmed minskad asymmetrisk information. Dock bekräftas teorin som menar att allmänheten kan översvämmas med för mycket information som i sin tur skapar osäkerhet hos konsumenten. Studien visade att majoriteten av respondenterna ansåg sig vara positiva över de förhöjda transparenskraven och ser stora möjligheter trots konstaterade risker. / This study was carried out with the aim of investigating the impact on Swedish banks during and after the introduction of the directive Market in financial instruments (MiFID) II transparency requirements. After regular shortcomings in the financial market, the new directive was designed to strengthen the transparency for all actors. The problem is the possible risks arising from increased transparency requirements and how banks act and how the asymmetric information is affected on the market between consumers and companies. The study is of qualitative art and the primary source consists of interviews with selected actors in the Swedish banking market. The result showed that respondents felt that a limit of transparency does not exist and that transparency can not be too much. With the new transparency directive, a positive effect on market quality was seen as increased demands led to higher discipline and thereby reduced asymmetric information.However, the theory confirms that the public can be flooded with too much information, which in turn creates uncertainty for the consumer. Studies showed that the majority of respondents felt positive about the increased transparency requirements and saw great opportunities even though risks were found.

[pt] Séries temporais são ferramentas importantes para análise de eventos que ocorrem em diferentes domínios do conhecimento humano, como medicina, física, meteorologia e finanças. Uma tarefa comum na análise de séries temporais é a busca por eventos pouco frequentes que refletem fatos de interesse sobre o domínio de origem da série. Neste trabalho, buscamos desenvolver técnicas para detecção de eventos raros em séries temporais. Formalmente, uma série temporal A igual a (a1, a2,..., an) é uma sequência de valores reais indexados por números inteiros de 1 a n. Dados dois números, um inteiro t e um real d, dizemos que um par de índices i e j formam um evento-(t, d) em A se, e somente se, 0 menor que j - i menor ou igual a t e aj - ai maior ou igual a d. Nesse caso, i é o início do evento e j o fim. Os parâmetros t e d servem para controlar, respectivamente, a janela de tempo em que o evento pode ocorrer e a magnitude da variação na série. Assim, nos concentramos em dois tipos de perguntas relacionadas aos eventos-(t, d), são elas: - Quais são os eventos-(t, d) em uma série A? - Quais são os índices da série A que participam como inícios de ao menos um evento-(t, d)? Ao longo desse trabalho estudamos, do ponto de vista prático e teórico, diversas estruturas de dados e algoritmos para responder às duas perguntas listadas. / [en] Time series are important tools for the anaylsis of events that occur in different fields of human knowledge such as medicine, physics, meteorology and finance. A common task in analysing time series is to try to find events that happen infrequently as these events usually reflect facts of interest about the domain of the series. In this study, we develop techniques for the detection of rare events in time series. Technically, a time series A equal to (a1, a2,..., an) is a sequence of real values indexed by integer numbers from 1 to n. Given an integer t and a real number d, we say that a pair of time indexes i and j is a (t, d)-event in A, if and only if 0 less than j - i less than or equal to t and aj - ai greater than or equal to d. In this case, i is said to be the beginning of the event and j is its end. The parameters t and d control, respectively, the time window in which the event can occur and magnitude of the variation in the series. Thus, we focus on two types of queries related to the (t, d)-events, which are: - What are the (t, d)-events in a series A? - What are the indexes in the series A which are the beginning of at least one (t, d)-event? Throughout this study we discuss, from both theoretical and practical points of view, several data structures and algorithms to answer the two queries mentioned above.

La 5ta edición del libro Finanzas para no financieros explica, de manera sencilla, los principios básicos para la comprensión de las decisiones financieras que, principalmente, implica riesgo y rentabilidad. La publicación presenta conceptos de costo de oportunidad y valor del dinero en el tiempo. Presenta algunos conceptos y reportes actualizados para ser tomados como ejemplos. / The Finanzas para no financieros ‘s fifth edition explains, in a simple way, the basics values to comprehension of the financial choices which imply risk and profitability. The book also explains concepts of opportunity cost and value of money in time. The publication presents some concepts and reports updated to be taken as examples.

<p>In this dissertation, I investigated price dynamics in the hotel room-night market and attempted to explain pricing decisions from a market perspective. Since market dynamics of the hotel room-night market can be paralleled to those in the financial market, financial market models allowed for examination of various aspects of hotel room pricing decisions.</p><p>In the first study, advance-purchase discounts were estimated through application of an option pricing model considering property-specific attributes. Non-refundable advance-purchase discounts are a commonly used rate fence. One challenge to their implementation, however, is deciding upon the precise magnitude of the discount. Quan’s (2002) study on the price of room reservations is a good starting point, but it is a conceptual model that assumes away other property-specific factors. This study thus tested the idea that advance-purchase discounts are affected by various components, including the value of the right to cancel a reservation (e.g., cancelation option value) and the room- and property-specific factors in the hotel room-night market (e.g., uncertainty, reviews, and seasonality). The analysis supported this hypothesis and additionally revealed that advance-purchase discounts are smaller for rooms with high review ratings in a high-demand period. Interestingly, the divergence between advance-purchase discounts and cancelation option value components widened in a high-demand period, which implies a tendency by hotels to adjust their room rates rather than the amount of discount for customers who book their stay well in advance. Theoretically, this study thus contributes to finance literature by extending the application of the option pricing model to real options for non-financial assets. This study also contributes to the hospitality literature by demonstrating the effects of property-specific attributes on advance-purchase discount magnitude. The results also have implications to the hospitality industry by providing an analytical framework by which hoteliers can estimate property-specific advance-purchase discounts.</p><p>The second study concentrated on rate parity agreement’s effect on the hotel room-night market’s efficiency at reflecting product characteristics in room rates. This study examined the impact of rate parity agreement between hotels and online travel agencies by comparing hotel rates between Europe and the United States. This study found that room rates were less sensitive to property quality attributes under rate parity clauses. The reflection of property quality on room rates were less efficient when hotels have rate parity agreement with OTAs. Furthermore, the results supported the claim that rate parity exacerbates price increase in periods of high demand, which indicates possible collusion between suppliers (hotels) and distributors (OTAs). The findings provided theoretical implications by testing the market efficiency of the hotel room-night market and confirming the impact at the property level. This study also provided a perspective on pricing decision makers to understand how rate parity agreement influence their pricing decisions. Last, the findings provided support for recent policies in Europe that restrict rate parity agreements between hotels and OTAs.</p><p>The third study empirically examined hoteliers’ response to the demand by observing the price movement of two rates with different cancelation policies—free cancelation rates and non-refundable rates. By modifying Hasbrouck’s (1995) information share approach, this study examined the non-refundable rates’ contribution to the price discovery process. The perceived quality of accommodation by customers, one of the primary determinants of the price discovery process, was included in analysis. The results suggested that non-refundable rates were contribute more to the information variance than free cancelation rates did. The findings also suggested that consumers’ perceived quality and volatility influence non-refundable rates’ contribution to the price discovery process. The results also have practical implications for market participants, as they help to build an understanding of aggregated demand and its impact on pricing. Non-refundable rates are generally regarded as just one of many kinds of discounted rates, but the results of this study suggest that hoteliers should carefully consider the role that non-refundable rates play in their pricing strategy.<br></p>