National Repository of Grey Literature 17 records found  1 - 10next  jump to record: Search took 0.00 seconds. 
Applications of modern spectral tools in financial econometrics
Křehlík, Tomáš ; Baruník, Jozef (advisor) ; Hanousek, Jan (referee) ; Croux, Christopher (referee) ; Wang, Yao (referee)
Spectral tools in econometrics have lately experienced a renewed surge in interest. This dissertation contributes to this literature by providing conceptually different spectral-based methods and their applications to problems of modern economics. In the first part, we take a spectral decomposition of realized volatility and construct a multivariate GARCH style model that we fit by standard quasi-maximum likelihood and generalized autoregressive score procedures. We build our model on a belief that market agents obtain information in various time horizons and therefore form their expectations in various informational horizons. This behavior creates an overall volatility process that is a mixture of spectrum specific processes. We then apply the model to the currency markets, namely GBP, CHF, and EUR. With the help of the model confidence set test we show that the multi-scale model and the generalized autoregressive score based models produce forecasts that are in most cases superior to the competing models. Moreover, we find that most of the information for future volatility comes from the high frequency part of the spectra representing the very short investment horizons. In the second part, we provide a spectral decomposition of a system multivariate connectedness measure based on Diebold and Yilmaz...
Stock market prediction using Twitter
Hynek, Jan ; Krištoufek, Ladislav (advisor) ; Křehlík, Tomáš (referee)
In this work I examine the short-time relationship of Twitter on the markets. I had been downloading English tweets in the period between 9th March and 4th April and also tweets containing words and hashtags "apple", "microsoft", "boe- ing", "cocacola". Afterwards, I investigate the predictive power of frequency of individal words on the marke using multinomial and binomial penalised logistic regression. I conclude that this method cannot be used for prediction, but can provide interesting insight ex-post. 1
Connectedness of high-frequency data
Petras, Petr ; Křehlík, Tomáš (advisor) ; Maršál, Aleš (referee)
This work combines discrete and continuous methods while modeling connect- edness of financial tick data. As discrete method we are using vector autore- gression. For continuous domain Hawkes process is used, which is special case of point process. We found out that financial assets are connected in non- symmetrical fashion. By using two methodologies we were able to model bet- ter how are the series connected. We confirmed existence of price leader in our three stock portfolio and modeled connectedness of jumps between stocks. As conclusion we state that both methods yields important results about price nature on the market and should be used together or at least with awareness of second approach. JEL Classification C32, G11, G14 Keywords Vector Autoregression, Hawkes process, High- frequency analysis, Connectedness Author's e-mail Supervisor's e-mail
Spatial approaches to hedonic modelling of housing market: Prague case
Lipán, Marek ; Křehlík, Tomáš (advisor) ; Troch, Tomáš (referee)
Having at hands instruments capable of effective housing appraisal can be essential not only for the real property evaluator in a bank, policy maker or real estate agent, but also for single individual seeking for an objective way to assess the tenure choice decisions. The housing market data are of a spatial nature. We address the spatial issues by implementing spatial modelling techniques into a hedonic price model. The main focus of the thesis is put on building a kriging model, which shows to be a powerful tool in explaining and predicting the prices of housing in the Prague at market. The kriging model comes out the best from the comparison of performance with the traditional spaceless hedonic pricing model as well as the common econometric spatial models. The usefulness of our kriging model is demonstrated in a possible application as the extension of the net present value model of the optimal tenure choice for a prospective first home owner. In a simplified economic scenario we found that the optimality of the tenure choice depends on the inflation, expected holding period as well as the precise location of the flat in the Prague.
European Stock Markets Integration
Vildová, Tereza ; Princ, Michael (advisor) ; Křehlík, Tomáš (referee)
This thesis examines the integration of European stock markets, focusing on the affect of the EU and Eurozone. Moreover, the thesis analyses whether increasing integration is a local trend possibly caused by the EU and Eurozone, or whether either the Japanese or American stock market gets more integrated with the European ones as well. We study the integration using weekly data of eighteen European stock markets and stock markets of Japan and the US over the horizon of twenty years. The method used is an extension by Klöessner and Wagner (2012) of a method originally introduced by Diebold and Yilmaz (2009). We find a positive effect of the EU on the integration of the stock markets. Also, the integration is rather local as the American and Japanese stock markets are proved to not have a higher increase in integration with the European stock markets that they have with each other. Finally, we find the Eurozone does not have an immediate positive effect on the integration of the stock markets. Keywords Stock markets integration, Spillovers, EU, Eurozone, Diebold and Yilmaz Author's e-mail Supervisor's e-mail
Is it worth investing in Czech mutual funds?
Sedlačík, Adam ; Křehlík, Tomáš (advisor) ; Pištora, Vojtěch (referee)
In the Czech Republic many people do not invest. Therefore, we try to find out whether Czech mutual funds offer a good opportunity for investment on the Czech market in comparison with American funds. We use Sharpe ratio, Treynor index, Jensen's alpha and Modern portfolio theory to find this out. We conclude that Czech bond mutual funds are safe place to put your money in even though they provide small but almost certain returns. Czech stock funds perform worse than their American counterparts in terms of Sharpe ratio, Treynor index and Jesen's alpha. Applying modern portfolio theory proved to be beneficial in case of mutual funds in the Czech Republic. Powered by TCPDF (
Empirical Analysis of Prague Flat Market
Sklenářová, Tereza ; Křehlík, Tomáš (advisor) ; Vozková, Karolína (referee)
The purpose of this work is to model the prices of real estate, concretely of Prague flats, which belong to the most important economic indicators. In the theoretical part, the main housing market participants are defined, special features of housing markets are described and most frequently used valuation methods are discussed. Most attention is focused on so called hedonic pricing model, which is applied as a base for the pricing equation in the econometric part. This is carried on various subsets of public available data regarding the characteristics of Prague flats, using ordinary least squares as well as weighted least squares. Several hypotheses about the relationship between the price and the explanatory variables are tested before creating the final model. The results are commented and compared with literature concerned with the same topic in other locations.
Regional disparities in price levels across the European Union
Kolcunová, Dominika ; Janský, Petr (advisor) ; Křehlík, Tomáš (referee)
Undisputedly, including price levels should be an integral part of any regional analysis. Currently, at the country level, purchasing power parities (or, in the case of the European Union, purchasing power standards) are used. However, these measures account only for one national parity in each country and do not reflect inter-regional price differentials. Consequently, this approach distorts the information value of the indicators (regional GDP per capita, disposable income per capita, et cetera) since the majority of countries are definitely not homogenous from the perspective of prices. Therefore, the aim of this thesis is to estimate regional price levels across the EU regions using an econometric model, which is based on available data on regional price levels for six countries in Europe. After estimating a regression equation and checking for the predictive power, regional price levels for the rest of EU regions at NUTS 2 level are estimated for the first time. Subsequently, they are used for recalculation of socio-economic indicators. The results imply that significant differences between analyses with one national price level and actual regional levels exist. This raises also several issues for policy implications (for instance potential sub-optimality of the European Cohesion policy, which...
Application of technical analysis on algorithmic trading
Šíla, Jan ; Krištoufek, Ladislav (advisor) ; Křehlík, Tomáš (referee)
The thesis takes on the question of profitability of algorithmic trading based on trend and momentum indicators and examines whether or not it is possible to acquire systematic profits. It reviews the development of relevant literature over the last 100 years to determine whether the inner workings of the market can be quantified and plausibly modelled. On three major U.S. stock indices are then tested several different strategies to determine whether in the long- term, passive investment can be outperformed by active trading. Merit of the work lies in backtesting several strategies and interpreting the results according to unique characteristics of the indices.
Pairs Trading at the Prague Stock Exchange
Nušlová, Alice ; Krištoufek, Ladislav (advisor) ; Křehlík, Tomáš (referee)
Bibliographic entry: NUŠLOVÁ, Alice. Pairs Trading at the Prague Stock Exchange. Prague, 2014. Bachelor thesis, Charles University, Faculty of Social Sciences, Institute of Economic Stud- ies. Supervisor: PhDr. Ladislav Krištoufek Ph.D. Title: Pairs Trading at the Prague Stock Exchange Author: Alice Nušlová Department: Institute of Economic Studies Supervisor: PhDr. Ladislav Krištoufek Ph.D. Supervisor's e-mail address: Abstract: Since its birth in the 1980s, pairs trading has become a widely used strategy for making profits among hedge funds and institutional investors. This technique identifies pairs of securities whose historical prices show long-run relationship, and takes advantage of their short- term relative mispricing. Profit is generated due to correcting behavior of security prices as they converge towards equilibrium value of their spread. The aim of this thesis is to compare two traditional approaches to pairs trading: cointegration and sum of squared deviations between normalized historical returns, known as distance criterion, within the Prague Stock Exchange equity market. We further investigate whether the two methods, so commonly employed in the US equity market, can be applied with similar success in the PSE. Our results reveal that the strategy using distance...

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