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Vliv vybraných proměnných na trh s kryptoměnami
Doležal, Daniel
Doležal, D. The impact of selected variables on the cryptocurrency market. Diploma thesis. Brno: Mendel University, 2023. The thesis deals with the selection of individual factors and the subsequent identification of whether or not these factors have an influence on the development of the price of Bitcoin. The variables are selected based on scientific articles that deal with this issue and subsequently are subjected to regression analysis. The analysis itself focuses on the period from the last Bitcoin halving, i.e. on those variables that could have potentially influenced the development of the price of our asset in the last approximately three years. The focus is on the general influence of explanatory variables that influence the price of Bitcoin, but also on a comparison of the significance and nature of the influence of individual determinants on the second largest cryptocurrency by market capitalization, Ethereum. The results of the work are critically evaluated with scientific articles and recommendations for investors are made based on the information obtained.
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Vliv pozornosti investora na trh s ropou
Topolnikova, Anna
Topolnikova, A. The influence of investor attention on the oil market. Bachelor thesis. Brno: Mendel University in Brno, 2023. The aim of this bachelor thesis is to identify the impact of selected indicators on the profitability of oil futures contracts and the profitability of shares of companies operating in the field of oil production. The theoretical part of the thesis describes the possibilities of investing in oil, presents the most important methods of stock valuation and determinants affecting oil prices. A separate chapter is devoted to investor sentiment. Where methods of measuring sentiment and expressing attention are presented with the help of searching for a certain term in Google Trends. The practical part is devoted to the relationship between the performance of ExxonMobil stock, WTI crude oil futures contracts and other selected indicators through correlation and regression analysis. Based on the information obtained from the theoretical and practical parts of the work, recommendations for investors are formulated.
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Vplyv vybraných ukazateľov na vývoj ceny Bitcoinu
Slimák, Rastislav
Slimák R. The impact of selected indicators on the price development of Bitcoin. Diploma thesis.Brno: Mendel University, 2022. This thesis deals with the influence of selected factors on the development of the price of Bitcoin. Thanks to literary research of scientific articles dealing with the price development of Bitcoin, specific variables will be selected, which will be subjected to a regression analysis in the practical part. The main benefit of this work is the study of relationships in specific periods, which are defined by Bitcoin halving. In addition to the regression analysis, the work deals with a graphical analysis of selected relationships, an elementary interpretation of the basic properties of Bitcoin together with a more detailed analysis of the mentioned halving and a separate chapter on the basic methods of asset evaluation. The results of the work are critically evaluated in the discussion and compared with the results of scientific articles. In the end, the work tries to summarize whether and or how investor's view of this non-traditional asset has changed in the monitored periods and thus offer an alternative view of Bitcoin's involvement in the portfolio.
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Analyzing the Effect of Google Searches on the Czech Real Estate Market
Racocha, Tomáš ; Vacek, Pavel (advisor) ; Kalabiška, Roman (referee)
This thesis examines what effect online search data has on the Czech real estate market, specifically on the number of transactions and apartment prices. A key feature of my work is the analysis of the sampling error associated with Google Trends data which can greatly influence results if not accounted for. To measure the explanatory power of online search data, a set of baseline models using macroeconomic variables was estimated for each specification, and then search indices were added as additional independent variables. In every examined setting, enhancing traditional models with Google Trends data improved model performance in terms of several different evaluation metrics.
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Vliv informací o daňovém zatížení na akciový trh
Stejskalová, Jolana
Stejskalová, J. Impact of the information on changes in tax burden on the stock market. Diploma thesis. Brno: Mendel University, 2017. The thesis investigates the relationship between the stock price returns and news about the tax burden of US companies listed on NASDAQ. Special emphasis is put on the role of perception of the news related to changes in tax burden. Using application Google trends, we show that increasing tax searches decrease stock prices. The thesis also investigates the positive relationship between news about tax burden and stock prices, in particular, shocks. Additionally, we differentiate between the market capitalization using interactions with the dummy variables. The results confirmed a higher impact of perception on large cap companies, we point out the importance of sentiment analysis at liquid markets.
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Vplyv behaviorálnej pozornosti na volatilitu ceny zlata
Gregorovičová, Marianna
In this work, I will examine the relationship between the investor´s behavior at-tention in gold on the Internet, through search queries on Google, and the volatili-ty of gold price. The aim of the paper is to find out whether investor´s interest in gold is af-fecting the volatility of the gold price or vice versa, whether the changing gold price raises investor´s interest in this rare metal and whether gold is Veblen Good. The theoretical part contains a summary of literary research on commodities, gold, behavioral economy, behavioral finance, and Google Trends. It also includes significant existing studies dealing with behavioral factors and the price of gold. The benefit of the work is to identify the relationship between gold volatility and the Search Volume Index for investing in gold earned from Google Trends. The relationship will be identified by a glide correlation analysis on windows of different lengths.
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Vliv behaviorální pozornosti na cenu akcií bank
Čajka, Ondřej
This diploma thesis is based on the theory of behavioral attention and examines the effect of the search for negative words in conjunction with the name of the bank on the price and on the yield of the shares of these banks. As a sample, 12 global, publicly traded and significant banks were selected. In this work, the behavioral attention is identified as the level of search on Google. The panel regression with random effects is used in the work, and Bayesian Model Averaging is used to identify suitable variables. The data proves the effect of negative behavioral attention, when an increased level of attention diminishes yield and share price. The results are then subjected to a robustness analysis where the impact of behavioral attention is examined before, during, and after the financial crisis. Furthermore, the effect of regulation and the level of behavioral attention itself is examined. The diploma thesis corresponds to the knowledge of behavioral economics and confirms a certain irrational behavior of investors on the market.
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Forecasting oil prices volatility with Google searches
Tolstoguzova, Ekaterina ; Krištoufek, Ladislav (advisor) ; Zafeiris, Dimitrios (referee)
Oil market pricing is highly susceptible to geopolitical and economic events. With the rapid development of information technology, energy market can quickly get external information shocks through the Internet. This thesis examines the relationship between prices of three oil benchmarks, CBOE Crude Oil Volatility Index, and Google search queries. We built VAR model to study Granger causality and to provide impulse response analysis. Results indicate both one side and two-side causal relationship between oil-related series and most of the search queries. Out-of sample forecasting with measures of predictive accuracy and Diebold-Mariano test demonstrated that Google trends can improve short-run prediction potential only for models with WTI price and volatility index.
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