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Optimal Stock Portfolio Selection as an Investment Conundrum
Bradová, Klára ; Kutáč, Ivo (referee) ; Chvátalová, Zuzana (advisor)
The portfolio theory is microeconomic discipline which deals with the exploration of capital markets and assets that are traded on them. This diploma thesis is focused on optimal stock portfolio selection. The main aim is to find a final portfolio fulfilling the requirements. The first part provides the theory needed for the subsequent establishment of a practical case of the optimal portfolio. The second part is devoted to the actual calculations leading to finding the portfolio with the desired rate of return.
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Optimization in Financial Applications
Večeřa, Tomáš ; Cabalka, Matouš (referee) ; Popela, Pavel (advisor)
The main purpose of this thesis is to create an efficient stock portfolio, specifically to optimize current distribution of stock index S&P 500. The building process consist of well-established mathematical-economical methods, which are then improved by applying mathematical models from statistics and optimization. Firstly, we define essential terms in order to reach deeper understanding of used methods. Afterwards, process of thorough selection of stocks and sectors comes to place. Data are then processed in program GAMS in three different ways, depending on investors preference. Although this approach was applied to current era, its principles are applicable to any given timeline.
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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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Optimization in Financial Applications
Večeřa, Tomáš ; Cabalka, Matouš (referee) ; Popela, Pavel (advisor)
The main purpose of this thesis is to create an efficient stock portfolio, specifically to optimize current distribution of stock index S&P 500. The building process consist of well-established mathematical-economical methods, which are then improved by applying mathematical models from statistics and optimization. Firstly, we define essential terms in order to reach deeper understanding of used methods. Afterwards, process of thorough selection of stocks and sectors comes to place. Data are then processed in program GAMS in three different ways, depending on investors preference. Although this approach was applied to current era, its principles are applicable to any given timeline.
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Optimal Stock Portfolio Selection as an Investment Conundrum
Bradová, Klára ; Kutáč, Ivo (referee) ; Chvátalová, Zuzana (advisor)
The portfolio theory is microeconomic discipline which deals with the exploration of capital markets and assets that are traded on them. This diploma thesis is focused on optimal stock portfolio selection. The main aim is to find a final portfolio fulfilling the requirements. The first part provides the theory needed for the subsequent establishment of a practical case of the optimal portfolio. The second part is devoted to the actual calculations leading to finding the portfolio with the desired rate of return.
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Arbitrage Pricing Theory
Mengler, Jan ; Hebák, Petr (advisor) ; Peřina, Milan (referee)
Determination of the stock expected return is an important element of asset management. This paper presents an Arbitrage Pricing Theory model, which strives to estimate the expected return explaining the historical volatility of the stock prices. This paper presents the model as it was introduced, necessary extension for application to a small market included. Statistical methods on which the model has been build are discussed -- factor analysis completed by principal component analysis. In the practical part, the model is applied to the Czech market with an assessment of the success of the application. The forces which were expected to represent risk factors for the market have been examined as well. It will be shown that the model may contribute to the understanding of risk behaviour of the stocks.
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The effectiveness of chosen fundamental analysis methods on a sample of stocks
John, Jaroslav ; Veselá, Jitka (advisor) ; Vorek, Marián (referee)
The diploma thesis deals with the effectiveness of chosen fundamental analysis valuation methods on a sample of stocks. The sample consists of stocks traded on the Prague Stock Exchange and on the New York Stock Exchange. The Czech part of the sample consists of stocks of ČEZ, Erste Group Bank, Komerční banka, Philip Morris ČR and Telefónica O2. The American part of the sample includes stocks of Coca Cola, General Electric, Intel, Southern Company and Bank of America. These stocks are valued by dividend discount models and cash-flow models stepwise to the end of the years 2005 and 2006. As regards the dividend models, the Gordon model, the three-stage model and the H-model are applied whereas within the cash-flow models the DCF equity method was chosen. The effectiveness of the valuation process was subsequently tested over the course of three years by comparing the particular stock returns and the returns of the market portfolio represented by market index. The evaluation of effectiveness is then done in terms of the absolute, the relative and the portfolio effectiveness.
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