|
| |
|
|
ICT Support for Investment Portfolio Creation
Přemyslovský, Tomáš ; Lerch, Tomáš (referee) ; Kříž, Jiří (advisor)
This bachelor thesis deals with an approximation and explanation of processing of individual portfolios especially for clients of financial consulting companies, which are focused on the mediation of investment products. The aim is to create ICT support system, primarily for beginning consultants in the company. The main emphasis is based on the fact that the created software is intuitive, efficient and effective instrument to assist in the compilation of portfolios for the final investor.
|
|
|
Stocks Portfolio on Czech Capital Market
Semela, Patrik ; Zerzánek, Ivan (referee) ; Sojka, Zdeněk (advisor)
The following work, regarding the Bachelor’s degree “Portforlio securities in the Czech capital market,” deals with selecting shares into the portfolio using a fundamental and technical analysis. The work includes a theoretical input to the issue of the capital market and the stock market followed by a practical part that consists of selecting the optimal investment options with 1,000,000 Kc.
|
|
|
ICT Support for Investment Portfolio Creation
Přemyslovský, Tomáš ; Lerch, Tomáš (referee) ; Kříž, Jiří (advisor)
This bachelor thesis deals with an approximation and explanation of processing of individual portfolios especially for clients of financial consulting companies, which are focused on the mediation of investment products. The aim is to create ICT support system, primarily for beginning consultants in the company. The main emphasis is based on the fact that the created software is intuitive, efficient and effective instrument to assist in the compilation of portfolios for the final investor.
|
|
|
Fundamental Analysis of Selected European Automobile Stock Companies for Creation of Investment Portfolio
Pavlík, Tomáš ; Smolík, Kamil (referee) ; Rejnuš, Oldřich (advisor)
The aim of this master thesis is to create a fundamental analysis of selected European automobile manufacturing companies, which are enlisted in the stock market and are publically traded. Goal of this fundamental analysis is to propose an ideal portfolio which should outperform the average car industry market. All information which are used during this work are publically accessible on the websites of every mentioned company. First part of this work is devoted to the description of methods, which are used through the whole article. Second part is describing selected companies and the reasons of the selection itself. Third part is devoted to the comparison of selected companies. Forth part is describing methods used for verification of the results, methods used for this verification are calculation of the inner value of security and bankruptcy models. The recommendation for the ideal portfolio for the European car industry is created in the last part of this thesis.
|
|
|
Fundamental Share Analysis(Pegas Nonwovens)
Pavlík, Tomáš ; Smolík, Kamil (referee) ; Sojka, Zdeněk (advisor)
The main topic of this bachelor thesis is a fundamental analysis of the shares of the company PEGAS NONWOVENS SA, made by using the publicly accessible information about the company. This thesis also includes theoretical description of the methods which are usable for the fundamental analysis. Then I’ll apply this theoretical knowledge in the practical part of the thesis in order to evaluate the price of shares.
|
|
|
Fundamental Anylysis of Selected Stocks
Dvořáček, Martin ; Henešová, Šárka (referee) ; Sojka, Zdeněk (advisor)
This thesis deals with the fundamental analysis of stocks selected Telefónica Czech Republic a.s. This paper contains a theoretical description of the use of fundamental analysis including a description of the specific models use dinfundamental analysis as a tool for determining the intrinsic value of traded shares. In the practical part I apply this analysis to the selected share with the help of publicly available information.
|
|
|
Creating of Stock Portfolio
Varečka, Michal ; Formanová, Lucie (referee) ; Rejnuš, Oldřich (advisor)
This bachelors thesis focuses on fundamental analysis of stocks. The theoretical part describes various models and possible procedures. In the second, practical part we apply different models to company shares. In the conclusion is investment recommendations identified through internal benchmarking and a stock price.
|
|
|
Expert System for Decision-Making on Stock Markets Using Investor Sentiment
Janková, Zuzana ; Lenort, Radim (referee) ; Zinecker, Marek (referee) ; Chramcov, Bronislav (referee) ; Dostál, Petr (advisor)
The presented dissertation examines the potential of using the sentiment score extracted from textual data with historical stock index data to improve the performance of stock market prediction through the created model of the expert system. Given the large number of financial-related text documents published by both professional and amateur investors, not only on online social networks that could have an impact on real stock markets, but it is also crucial to analyze and in particular extract financial texts published by different users. investor sentiment. In this work, investor sentiment is obtained from online financial reports and contributions published on the financial social platform StockTwits. Sentiment scores are determined using a hybrid approach combining machine learning models with the teacher and neural networks, with multiple lexicons of positive and negative words used to classify sentiment polarity. The influence of sentiment score on the stock market through causality, cointegration and coherence is analyzed. The dissertation proposes a model of an expert system based on fuzzy logic methods. Fuzzy logic provides remarkable features when working with vague, inaccurate or unclear data and is able to deal with the chaotic environment of stock markets. In recent scientific studies, it has gained in popularity a higher level of fuzzy logic, which is referred to as type-2 fuzzy logic. Unlike the classic type-1 fuzzy logic, this higher type is able to integrate a certain level of uncertainty between the dual membership functions. However, this type of expert system is considerably neglected in the subject issue of stock market prediction using the extracted investor sentiment. For this reason, the dissertation examines the potential to use and the performance of type-2 fuzzy logic. Specifically, several type-2 fuzzy models are created. which are trained on historical stock index data and sentiment scores extracted from text data for the period 2018-2020. The created models are assessed to measure the prediction performance without sentiment and with the integration of investor sentiment. Subsequently, based on the created expert model, the investment strategy is determined, and its profitability is monitored. The prediction performance of fuzzy models is compared with the performance of several comparison models, including SVM, KNN, naive Bayes and others. It has been observed from experiments that fuzzy logic models are able to improve prediction by appropriate setting of membership and uncertainty functions contained in them and are able to compete with classical expert prediction models, which are standardly used in research studies. The created model should serve as a tool to support investment decisions for individual investors.
|
|
|
The Use of Means of Artificial Intelligence for the Decision Making Support on Stock Market
Hrach, Vlastimil ; Budík, Jan (referee) ; Dostál, Petr (advisor)
The diploma thesis deals with artificial intelligence utilization for predictions on stock markets.The prediction is unconventionally based on Bayes' probabilistic model theorem and on its based Naive Bayes classifier. I the practical part algorithm is designed. The algorithm uses recognized relations between identifiers of technical analyze. Concretely exponential running averages at 20 and 50 days had been used. The program output is a graphic forecast of future stock development which is designed on ground of relations classification between the identifiers
|
guest ::
