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Investment Optimization
Bujnovský, Daniel ; Bednář, Josef (referee) ; Popela, Pavel (advisor)
This work is focused on description of two models of mathematical programming - the network model and the Markowitz portfolio model, their connection and application in transportation problems. The goal of the practical section is to approach the description of these problems to the real situations and look for their efficient solutions at the same time. All of that is accompanied by examples on real data from capital market or own model data. The theoretical considerations and thoughts are implemented in programming language Matlab. All results are explained in context to both models. The thesis also includes the introduction to economical and statistical theory which is necessary to understand the problem.
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Security Portfolio Optimalization
Dopita, Radim ; Heralecký, Tomáš (referee) ; Sojka, Zdeněk (advisor)
This thesis is focused on security portfolio optimalization using the value of stock screener. The theoretical section discusses the basic theory of markets, modern portfolio theory, diversification and the types of risks associated with financial activities, the basic steps to become an investor. The practical part is designed to build optimized stocks portfolio using the value of screening, its feigned purchase on New York Stock Exchange (NYSE), followed by monitoring the evolution rate of the portfolio thus created.
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Stock Portfolio Optimalization on Czech Capital Market
Šebestíková, Sabina ; Štěpánková, Jana (referee) ; Sojka, Zdeněk (advisor)
The master's thesis is focused on Stock portfolio optimalization on Czech capital market. The analysis of each stock, estimation and portfolio optimalization proposal are included. In the practical part the Fundamental analysis is applied. The portfolio optimalization is estemated by portfolio theory which is consist in the relationship between stock price and market trends represents by PX Index and expressing correlation of them by beta coefficient.
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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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Specifics in investment structure of private pension funds in the Czech Republic
Vančura, Filip ; Streblov, Pavel (advisor) ; Červinka, Michal (referee)
The objective of the thesis is to investigate the efficiency of pension funds' investment strategy in the Czech Republic and the adequacy of the current level of real estate investments in their portfolios. We employ Markowitz portfolio theory and construct the optimal market investment portfolio. The optimal portfolio is then compared with the portfolio of Czech pension funds and the loss arising from asset class misallocation is estimated. Besides, the comparison of portfolio structures of all current pension funds in the Czech Republic is done with the intention to detect whether they follow significantly different investment strategies or not. The analysis is done on quarterly data over the period 2000 - 2011. In the last chapter of the thesis, other sources of market inefficiency of the Czech pension funds are discussed.
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Corporate venture investors portfolio forming: what criteria is used and how the portfolio affects corporations' performance?
Su, Qihao ; Novák, Jiří (advisor) ; Semerák, Vilém (referee) ; Nivorozhkin, Eugene (referee)
Capital Asset Pricing Model (CAPM) is an equilibrium model to test relationship between expected return and market risk (Sharpe, 1964). The model research on pricing and return when the securities market reaches equilibrium and investors are rational and investing by diversification based on Markovitz portfolio theory (Markovitz, 1952). Fama and MacBeth (1973) proposed a cross-sectional testing methodology on CAPM and this regression method has been widely used in testing CAPM in developed markets since then. While CAPM is hard to explain more and more market anomalies (excessive return in smaller market value company) in cross section regression, Fama and French (1992) added two more factors (SMB and HML) and proposed three factor model. The empirical results show that three factor model is superior to CAPM in developed markets. Relevant studies have been conducted by Manjuunatha (2006) and Trimech et al. (2015) but show different results. This dissertation will use Fama-MacBeth cross section approach to test CAPM and Fama-French's three factor model in Chinese and Polish stock market respectively. Following Fama and MacBeth (1972) and Shweta and Anil (2015), three sub periods of Polish and Chinese stock market returns ranging from 2007 to 2018 are examined. The empirical results in this thesis...
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Investment Optimization
Bujnovský, Daniel ; Bednář, Josef (referee) ; Popela, Pavel (advisor)
This work is focused on description of two models of mathematical programming - the network model and the Markowitz portfolio model, their connection and application in transportation problems. The goal of the practical section is to approach the description of these problems to the real situations and look for their efficient solutions at the same time. All of that is accompanied by examples on real data from capital market or own model data. The theoretical considerations and thoughts are implemented in programming language Matlab. All results are explained in context to both models. The thesis also includes the introduction to economical and statistical theory which is necessary to understand the problem.
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Fine Watches as an Investment: Index Creation and Portfolio Selection
Harant, Evžen ; Chytilová, Julie (advisor) ; Malířová, Tereza (referee)
This thesis performs a risk-return analysis and examines portfolio diversi- fication opportunities of fine watches. To provide the reader with a basic understanding of the watch market and its functioning, main incentives, price determinants, and risks are studied. To effectively analyse price dy- namics on fine-watch market, the dataset including data from major auction houses and encompassing the period between 2006 and 2017 is created. Due to the unique nature of fine-watch market scene, the price index is then estimated with repeat sales method using original, three-stage, and three- stage flexible methods. Beyond the creation of price index, the portfolio analysis is performed and the thesis further focuses on potential benefits of watch index's inclusion in optimal portfolio. We find evidence that fine watches are potentially a good diversification tool due to its close-to-zero correlation with other chosen asset classes. However, computed risk-return characteristics shows a suboptimality of watch index relative to all selected assets except for two equity indices, NIKKEI 225 and EURO STOXX 50. As a result, we find no evidence of beneficial effect of fine watches' inclusion in portfolio. Keywords Watches, Financial Markets, Fine Watches, Investment, Portfolio Theory, Repeat Sales Method, Auction
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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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Optimal portfolio selection under Expected Shortfall optimisation with Random Matrix Theory denoising
Šíla, Jan ; Šopov, Boril (advisor) ; Baruník, Jozef (referee)
This thesis challenges several concepts in finance. Firstly, it is the Markowitz's solution to the portfolio problem. It introduces a new method which de- noises the covariance matrix - the cornerstone of the portfolio management. Random Matrix Theory originates in particle physics and was recently intro- duced to finance as the intersection between economics and natural sciences has widened over the past couple of years. Often discussed Efficient Market Hypothesis is opposed by adopting the assumption, that financial returns are driven by Paretian distributions, in- stead of Gaussian ones, as conjured by Mandelbrot some 50 years ago. The portfolio selection is set in a framework, where Expected Shortfall replaces the standard deviation as the risk measure. Therefore, direct optimi- sation of the portfolio is implemented to be compared with the performance of the classical solution and its denoised counterpart. The results are evalu- ated in a controlled environment of Monte Carlo simulation as well as using empirical data from S&P 500 constituents. 1
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