National Repository of Grey Literature 198 records found  beginprevious128 - 137nextend  jump to record: Search took 0.00 seconds. 
Wavelet portfolio optimization: Investment horizons, stability in time and rebalancing
Kvasnička, Tomáš ; Krištoufek, Ladislav (advisor) ; Kukačka, Jiří (referee)
The main objective of the thesis is to analyse impact of wavelet covariance estimation in the context of Markowitz mean-variance portfolio selection. We use a rolling window to apply maximum overlap discrete wavelet transform to daily returns of 28 companies from DJIA 30 index. In each step, we compute portfolio weights of global minimum variance portfolio and use those weights in the out-of- sample forecasts of portfolio returns. We let rebalancing period to vary in order to test influence of long-term and short-term traders. Moreover, we test impact of different wavelet filters including Haar, D4 and LA8. Results reveal that only portfolios based on the first scale wavelet covariance produce significantly higher returns than portfolios based on the whole sample covariance. The disadvantage of those portfolios is higher riskiness of returns represented by higher Value at Risk and Expected Shortfall, as well as higher instability of portfolio weights represented by shorter period that is required for portfolio weights to significantly differ. The impact of different wavelet filters is rather minor. The results suggest that all relevant information about the financial market is contained in the first wavelet scale and that the dynamics of this scale is more intense than the dynamics of the whole market.
Sustainable Energy Development in Central Europe and East Asia: Different Scenarios and Options Evaluation
Tan, Tianhao ; Janda, Karel (advisor) ; Krištoufek, Ladislav (referee) ; Espinoza, Raphael (referee)
This research presents an overview of different sustainable energy development scenarios in Central Europe and East Asia, and is aimed to evaluate the efficiency and availability for introducing a specific sustainable energy source. Accordingly: wind, hydropower, solar, bioenergy, geothermal, nuclear energy. By conducting analysis though multi criteria decision analysis (MCDA) and analytic hierarchy process (AHP) models, divergences among energy options in Central Europe and East Asia are emphasised due to its preferences in hierarchy. A short introduction, related to the present energy outlook with a series of relative regressions and a case study based on corresponding statistics, is presented firstly. This gives insights to assess the evaluation of sustainable energy development options. Evaluation results indicating Central Europe and East Asia should introduce different sustainable energy technologies on account of their own strengths and drawbacks in energy judgements and criterions. Keywords Sustainable energy, energy development, Central Europe, East Asia, energy scenario, energy option, evaluation, multi criteria decision analysis (MCDA), analytic hierarchy process (AHP)
Predicting Stock Market Volatility with Google Trends
Pecháček, Jan ; Krištoufek, Ladislav (advisor) ; Janotík, Tomáš (referee)
This thesis aims to investigate the usability of Google Trends data for predicting stock market volatility. Using daily Google data on tickers of three companies with large market capitalization, we examine the causal relationship between Google data and volatility proxy. We employ two common models for volatility, Generalised Autoregressive Conditional Heteroskedasticity model (GARCH) and Heterogeneous Autoregressive model (HAR) and we augment them by adding Google data. We studied the performance of in-sample forecasting and out-sample forecasting. Our results show that Google data Granger-cause stock market volatility and is able to produce more accurate results in in-sample forecasts then models without Google data added.
Testing the Effects of Parameter Changes in the Bornholdt's Model
Chrz, Štěpán ; Krištoufek, Ladislav (advisor) ; Seman, Vojtěch (referee)
In this work we thoroughly analyze Bornholdt's version of Ising model of ferromagnetism, with emphasis on its ability to mimic some basic stylized facts of financial series. Initially, we provide a breakdown of model definition and analysis of underlying dynamics. Subsequently, we examine and confirm model's ability to mimic stylized facts of financial series. To examine robustness of this ability to parameter change, we conduct simulations over a set of parameter combinations. We conclude that there is a wide set of combinations that yields acceptable simulation results. We also note that the seemingly best results are obtained at parameter values close to border of this set. Powered by TCPDF (www.tcpdf.org)
International Trade Network
Hanousek, Milan ; Krištoufek, Ladislav (advisor) ; Parrák, Radovan (referee)
This paper studies the topological properties of the International Trade Network (ITN) among world countries using a network analysis. We explore the distribu- tions of the most important network statistics measuring connectivity, assortativ- ity and clustering. We show that the topological properties of the weighted rep- resentation of the ITN are very different from those obtained by a binary network approach. In particular, we find that: (i) the majority of countries are character- ized by weak trade relationships, (ii) well connected countries tend to trade with poorly connected partners and (iii) countries holding more intense trade relation- ships are more clustered. Finally, we display that all structural properties of the ITN have remained remarkably stable over time.
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.
Hedge Effectiveness in Copper Futures Market: Case study for "Erdenet" Mining Co.Ltd in Mongolia
Khurelbaatar, Baigali ; Krištoufek, Ladislav (advisor) ; Serdarevič, Goran (referee)
The objective of the thesis is to analyze the copper futures market in London Metal Exchange (LME) and to recommend appropriate hedging strategy in copper futures market to the Erdenet Mining Corporation in Mongolia. It uses daily official settlement copper prices of LME in the spot and 3 month futures markets from 2000-2014. Initially, we use cointegration test and ECM to investigate the copper market efficiency. Then OLS, ECM, GARCH, EGARCH and ECM-GARCH models are employed to compute different optimum hedge ratios. Finally, the hedge effectiveness is measured based on minimization of the value of AIC and SBIC. Our result indicate that copper futures market is inefficient. Hedge effectiveness comparison concludes that ECM model gives the best hedging performance. However, ECM-GARCH is accounted to be the best model for hedging strategy since it captures the time-varying conditional heteroscedasticity to ECM model. Powered by TCPDF (www.tcpdf.org)
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: kristoufek@ies-prague.org 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...
Google searches and financial markets: IPOs and uncertainty
Vakrman, Tomáš ; Krištoufek, Ladislav (advisor) ; Novák, Jiří (referee)
This thesis studies how the investor attention proxied by Google search volume affects different aspects of market behavior. My results show that a surge in online attention is associated with an increase in trading activity and stock price volatility, but no effect is detected for daily returns. Yet, if market sentiment is taken into account, the relationship comes to the surface for returns as well. The returns tend to decrease with attention hikes in negative sentiment periods and the opposite is observed for periods of positive sentiment, suggesting that Google web search captures predominately attention of sentiment investors. Moreover, I demonstrate that with the outburst of financial crisis, the interdependence between attention and trading activity was intensified. Lastly, I provide evidence that web search may shed some light on IPO-related puzzles. The initial returns seem to be higher for IPOs that receive above average attention, and are likely to be reversed in long-term. In addition, it is ascertained that web search volume may act as a proxy for market overreaction to the offerings. Powered by TCPDF (www.tcpdf.org)
Variance structure of the Bitcoin currency
Pátek, Martin ; Krištoufek, Ladislav (advisor) ; Skuhrovec, Jiří (referee)
The purpose of this thesis is to explain how Bitcoin works, analyze the Bitcoin total variation and to separate the jump component of realized variance from the continuous part. In order to do so, we use estimates of quadratic variation and integrated variance. We detect jumps using a test which is based on the difference between realized variance and bipower variation. The results for BTC/USD exchange rate are then compared with the results for EUR/USD exchange rate, price of gold and for the S&P 500 index. In case of all datasets, we use data with five-minute frequency. It seems that no other work analyzing the Bitcoin total variation using the same methods to separate the jump component from the continuous part of a price process has been written so far. We found that jumps in the Bitcoin total variation are stronger than for other analyzed instruments. The results also suggest that the duration between jumps for Bitcoin considerably prolonged during the monitored period which may indicate that the behavior of price of bitcoin has stabilized over time. We also found out that the variance of price of bitcoin is higher during the monitored period in comparison with other analyzed instruments. Powered by TCPDF (www.tcpdf.org)

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