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Technical Analysis
Kotásek, Lukáš ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
Thesis is focused on CAPM model. Characteristics of five chosen stocks of NASDAQ capital market are calculated using linear regression. Market index S&P 500 is used to represent the market. Calculated values are verbally interpreted. As a presented solution, a program is created in VBA language, that will help the user to convert historical stock data from Yahoo! Finance to form, that can be used for calculations. The program will then use the data to calculate said characteristics. Program is also tested on function and performance using larger amounts of historical data.
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Performance Evaluation of Real Estate Investment and Mutual Funds
Janková, Zuzana ; Novotná, Veronika (referee) ; Rejnuš, Oldřich (advisor)
Diploma thesis deals with the evaluation and the comparison of the performance of mutual funds and investment funds with a focus on the real estate sector. The essence and principles of mutual funds, ETF and REIT are presented, and the resulting weaknesses and advantages. According to the selected indicators, the profitability, riskiness and expense of the investment opportunities are examined and investment recommendations for management of an investment company and potential retail investors are established.
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Design of Investment Portfolio for a Small Family Company on the Czech Capital Market
Řeháčková, Miroslava ; Marek, Jiří (referee) ; Doubravský, Karel (advisor)
This thesis describes the design of portfolio for the small family business in the Czech capital market conditions. It works with data from the Prague Stock Exchange and specifically from the Prime Market. The proposed based on Markowitz's portfolio theory and the CAPM model. From the historical data is created several portfolios, which are then compared with each other and have selected the one best suited to profitability and risk. Finally, the selected portfolio is tested under the conditions of the Czech capital market.
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Technical Analysis
Ondrušová, Denisa ; Žídková, Lucie (referee) ; Novotná, Veronika (advisor)
This master‘s thesis is focused on creating an application, which would suggest an optimal portfolio of shares from SPAD Stock Market Praha. The application is based on the CAPM model, which is also described in this paper. There is a calculation of securities characteristics and specific portfolio diversification is suggested. The application also allows a user to simulate investments based on his requirements.
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Valuation of Companies in the Technological industry of Emerging Markets
Palovič, Peter ; Polák, Petr (advisor) ; Čech, František (referee)
This thesis aims to examine the relationship between various asset pricing fac- tors and the returns of IT stocks in the CEE region. Specifically, it investigates the significance of traditional CAPM beta, MMR (Micro Minus Rest), and ITMR (IT Minus Rest) as potential risk factors in explaining the variations in IT stocks' returns. To achieve this objective, we employed Fama-MacBeth two- stage regression analysis over a dataset comprising monthly returns of 50 CEE IT companies from February 2011 to June 2023. The results of our analysis re- veal that there is no statistically significant relationship between the proposed factors and the returns of IT stocks. Thus, there is no evidence that these factors possess explanatory power in the cross-sections of IT stocks' returns in the CEE region. To ensure the robustness of our findings, we applied both univariate and multivariate asset pricing models. Overall, our study does not support the notion that the investigated factors are significant risk factors for the IT sector in the CEE region, as they fail to predict the variations in IT stocks' returns. JEL Classification G12, G14, G15 Keywords Size premium, Emerging markets, CAPM, Fama-MacBeth regression, Asset pricing Title Valuation of Companies in the Technological in- dustry of Emerging Markets
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Aplikácia modelu CAPM na evrópsky akciový trh
Laurová, Terézia
Laurová, T. Application of model CAPM on European stock market. Diploma thesis. Brno: Mendel University, 2015. The fundamental of this thesis is application of CAPM model on European stock market. Diploma thesis consists of two parts. The first one is the theoretical part, which is describing the basics of CAPM model, which serves for better understanding of the model and portfolio management. In the second, practical part, there will be solved the basic characteristics of model. There will be also created portfolios in Microsoft Excel. Finally there will be evaluated the veracity of the specified hypothesis and comparison of incurred portfolios.
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Can a Dual-beta Five-Factor Model Explain Stock Market Variation in CEE?
Lu, Shuhong ; Čech, František (advisor) ; Chondrogiannis, Ilias (referee) ; Paulus, Michal (referee)
The study applies a dual-beta five-factor model to investigate how return is correlated with market factor, size, value, profitability and investment factors in the CEE region. Dual betas are employed in a pooled regression to account for different behaviour in different market conditions. The results show that market factor is significant across the sample period from 2003 to 2017, and the coefficient of the market factor is lower in bearish market and higher in bullish market. By employing dual betas, the explanatory power of a model has increased. However, the effect is limited, and we do not recommend using the dual-beta model due to the loss of simplicity. Post-regression diagnosis has confirmed the appropriateness of using our model by checking the key assumptions of Ordinary Least Square. Limitations are presented at the end to suggest future study.
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Modern way of calculation of CAPM coefficient: Beta hedging application
Šopov, Daniel ; Andrlíková, Petra (advisor) ; Gapko, Petr (referee)
Model CAPM je považován za základní model při oceňování systematického risku aktiv a jeho provázanosti s výnosností trhu. Tato práce využívá této struktury a použitím různých metod, mezi které patří OLS, DCC MGARCH a SSF modelovaní, se snaží najít nejvhodnější metodu z výše zmíněných, která dokáže nejlépe odhadnout koeficienty systematického risku. Tyto koeficienty jsou dále použity pro zajištění rizika portfolií, které jsou vytvořeny z akcií obchodovaných na různých burzách- NYSE Composite a NASDAQ Composite. Na základě obdržených výsledků o výkonu zajištění rizika v každém portfoliu budeme schopni vyhodnotit, která z metod je nejvhodnější pro odhad systematické risku v modelu CAPM. Klíčová slova: CAPM, Systematický risk, Portfolio risk hedge, OLS, DCC MGARCH, SSF model JEL Classification: C22, C58, G11, G12, G15 Author's e-mail: danielsopov@email.cz Supervisor's e-mail: andrlikova@gmail.com
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Investment horizon in the CAPM: A comparison of a wavelet-based decomposition and the fractal regression
Spousta, Radek ; Krištoufek, Ladislav (advisor) ; Vácha, Lukáš (referee)
This thesis study two promising methods used to define the multiscale CAPM - the wavelet-based decomposition and the fractal regression. Their estimates, obtained on monthly excess return on ten portfolios formed on beta in the US market, are compared in the period from November 2000 to October 2020 and, subsequently, in the period from November 1965 to October 2020. In the first period, the multiscale beta is not significantly different from the original single-scale beta for most of the portfolios. Contrary, both methods uncover significant multiscale behavior of the beta in the second period. Specifically, the high-beta portfolios have higher multiscale beta at longer investment horizons, mainly at wavelet scale 3 and scales 12-24 of the fractal regression. Overall, both methods deliver consistent results, and seem suitable for extending the CAPM with an investment horizon. JEL Classification Keywords G12, C20 CAPM, asset pricing, multiscale analysis, wavelets, fractal regression Title Investment horizon in the CAPM: A comparison of a wavelet-based decomposition and the fractal regression
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