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The Discaunt Rate for the Determination of the Market Value of an Enterprise
Prodělal, František ; Mařík, Miloš (referee) ; Marková, Leonora (referee) ; Korytárová, Jana (advisor)
The work is focussed on the determination of capital structure in its market values, determination of the cost of non-own capital, and determination of the cost of equity, primarily by using the CAPM method. In terms of the CAPM procedure the work deals with the main parameters required by the method, such as risk-free yield rate, risk market premium, and beta coefficient. Furthermore, attention is given to modifications resulting from the inaccuracies of the CAPM method to make the method correspond as much as possible with the actual yield and risk of shares historically achieved at the capital market, and likewise to modifications needed when applying the CAPM method to the valuation of Czech businesses. The recommended procedure of determining the market discount rate for the valuation of an enterprise is applied on an example. Data obtained from the capital market of the Czech Republic are used to calculate the risk premium of the Czech capital market and beta coefficient of selected ten shares out of the Czech capital market, giving an assessment of the possibility of using the data obtained from the Czech capital market for the valuation of businesses incorporated in the Czech Republic.
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Business Valuation
Hromek, Jan ; Jurčík, Pavel (referee) ; Režňáková, Mária (advisor)
This diploma thesis deals with assesing the value of a specific company and with theoretical aspects of such valuation. A construction company called MORAVOSTAV Brno, a. s. stavební společnost was chosen for the assessment. Based on the theoretical findings a strategic and financial analysis was conducted and the value of the company was established by valuation methods of discounted cash flow and economic value added.
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Portfolio optimization
LOJDA, Patrik
This diploma thesis is focused on portfolio optimization for a selected client. As a first task, a set of 35 company shares are chosen out of 6 business areas in order to ensure variety. With the help of Markowitz theory, optimal portfolios are created. In the beginning, it is mainly about optimization tasks that focus on only one of the two conflicting goals. Followed by modifications of the optimization function and of course putting those portfolios in a graph. By adding a risk-free asset we create a capital market line that achieves better results than the original Markowitz theory. The thesis also uses a security market line for the evaluation of individual shares, from which the optimal portfolio is compiled. Fama-French three-factor model is also presented. The resulting portfolios are tested on the next year data and with the help of the acquired knowledge an optimal portfolio is created for the selected client.
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Quantitative Link between Founder-CEOs and Total Shareholder Return
Chyba, Jakub ; Kočenda, Evžen (advisor) ; Gregor, Martin (referee)
In our work we aim to study the effect of Founder-CEO presence in a company on excess shareholder returns. Hence, this work continues in the footsteps of asset pricing literature studying statistical effects of variables such as of Beta, Size and Price to Book ratio. We gather data on panel of NASDAQ 100 companies and note presence of firm and time effect in our data. In this situation we use two methodologies to try to tackle the issues in our data. Specifically, we employ Hausman Taylor approach and Fama Macbeth regression. We find some evidence in favour of Founder-CEO effect, yet overall we arrive to inconclusive results. Our Hausman Taylor approach arrives to positive statistically significant effect at Founder- CEOs, while Fama Macbeth arrives to insignificant effect. We note that different issues with endogeneity might be an important factor behind the difference, yet we argue that given our options the methods employed are valid choices.
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Robust Monitoring Procedures for Dependent Data
Chochola, Ondřej ; Hušková, Marie (advisor) ; Antoch, Jaromír (referee) ; Černíková, Alena (referee)
Title: Robust Monitoring Procedures for Dependent Data Author: Ondřej Chochola Department: Department of Probability and Mathematical Statistics Supervisor: Prof. RNDr. Marie Hušková, DrSc. Supervisor's e-mail address: huskova@karlin.mff.cuni.cz Abstract: In the thesis we focus on sequential monitoring procedures. We extend some known results towards more robust methods. The robustness of the procedures with respect to outliers and heavy-tailed observations is introduced via use of M-estimation instead of classical least squares estimation. Another extension is towards dependent and multivariate data. It is assumed that the observations are weakly dependent, more specifically they fulfil strong mixing condition. For several models, the appropriate test statistics are proposed and their asymptotic properties are studied both under the null hypothesis of no change as well as under the alternatives, in order to derive proper critical values and show consistency of the tests. We also introduce retrospective change-point procedures, that allow one to verify in a robust way the stability of the historical data, which is needed for the sequential monitoring. Finite sample properties of the tests need to be also examined. This is done in a simulation study and by application on some real data in the capital asset...
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Obchodovanie investorov a sentiment v odvetví
Jamrichová, Denisa
This bachelor thesis identifies the sentiment on sectors level and also answers the question, how this alternative investment factor affects the stock prices, which belongs to a particular sector. A literature search introduces the main academic theories related to development of stock markets. For analysis of sentiment, in empirical part have been used Jensen's time series model, expanded by variable sentiment for five major US market sectors represented by a specific company traded on US stock exchange. The results of analysis about the potential impact sentiment in the sectors are consistent with the economic theory interpreted in the conclusion of this thesis.
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Size and Value Premiums in Returns of the Central and Eastern European (CEE) Stocks
Rolevski, Borche ; Novák, Jiří (advisor) ; Vacek, Pavel (referee)
This thesis provides evidence of size and value premiums in returns in the Central and Eastern European (CEE) region, through its analysis of financial markets in 12 countries. Following the portfolio construction methodology of Fama and French (1996) we use a sample of 1245 stocks and record that small stocks outperform big stocks (size premium) and value stocks outperform growth stocks (value premium). In addition, we create nine portfolios to test the Fama and French three-factor model and show that the factor-mimicking portfolios that have been documented in the developed markets, SMB (small minus big) and HML (high minus low), also capture most of the cross-section variation in average stock returns in the CEE region. We demonstrate a similar pattern in terms of size return as documented in the U.S. market, but with small differences in the value returns found. Although the Gibbons-Ross-Shanken (GRS) test does not reject the null with 95%, we do not agree that the model completely explains the variation in average returns across the portfolios. The GRS rejects the null at 90% and implies that other factors are omitted from the model. Nevertheless, this thesis contributes to the literature applying asset pricing models to the CEE region, and should provide insights to investors active in the CEE...
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Markowitzův model optimalizace portfolia
POSTLOVÁ, Šárka
The thesis deals with modern portfolio theory. The theoretical part of the thesis describes the historical development of portfolio optimization and presents the basic theoretical background of the Markowitz model, the Tobin model and the Capital asset pricing model. In the practical part of the thesis, the models are applied to real data from two Czech securities markets, PSE and RM-S. An optimal portfolios composition is proposed by the three models mentioned above and then the outputs of the models are compared to the real datas from the next period. Finally, the benefits and drawbacks of the used models are evaluated.
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Stock Portfolio Selection and Analysis
Filipová, Adriana ; Čech, Tomáš (advisor) ; Krajhanzl, Martin (referee)
The main aim of the thesis is to perform portfolio selection based on principles of Markowitz portfolio theory using ex-post approach, CAPM model, three factor and five factor Fama-French model and to compare their achieved performance with each other and with their expectd values. Intensity of relationship between equity risk premiums and each of the factors - premiums is estimated using linear regression analysis, followed by evaluation of quality of models based on regression results. Eventually, optimal portfolio for each model is selected and empirically tested. The outcome determines which portfolio performance was the best and the most accurate.
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Understanding systematic risk of assets at various quantiles of return distribution 
Rusý, Tomáš ; Baruník, Jozef (advisor) ; Avdulaj, Krenar (referee)
In this thesis, we deal with the application of quantile regression to the Capital Asset Pricing Model, which is derived in the thesis. We investigate a real dataset to determine if one of many implications - constant beta at different quantiles of return distribution, of the model is met. For that purpose, we use Khmaladze test which is perfectly suited for testing if asset's beta varies over return distribution. Before we run the test we introduce both quantile regression and the Khmaladze test to the reader in simple and clear notation as we do not expect the reader to be familiar with this regression technique. Powered by TCPDF (www.tcpdf.org)
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