|
|
Do crypto-currencies form a new asset class?
Mayr, Samuel ; Krištoufek, Ladislav (advisor) ; Hanus, Luboš (referee)
This paper examines statistical properties of crypto-currencies' price variations in comparison with statistical properties of price variations in common financial markets. Price data of Bitcoin, ripple and Litecoin have been directly compared with price data of euro currency and stock index S&P500. Additionally, and compared with set of stylized facts of asset returns. The properties in scope of this work include an autocorrelation of day-to-day returns, a shape of return distributions, a volatility clustering, a leverage effect and a volume/volatility correlation. To answer the question of this thesis, we have tried to find unique differences in the way prices of crypto-currencies behave. After every point of the data analysis has been checked, we have concluded that the only major difference is in the shape and the significance of autocorrelation in day-to-day returns. While crypto-currencies seem to autocorrelate, there has been no such a cross-autocorrelation found in the benchmark values. Therefore, we argue that it is the most distinctive sign of crypto-currencies and the reason for crypto-currencies to be regarded as separate asset class. Powered by TCPDF (www.tcpdf.org)
|
|
|
Does Bitcoin Have Potential To Co-Function with Fiat Money?
Kurka, Josef ; Dědek, Oldřich (advisor) ; Vacek, Pavel (referee)
This paper examines the potential of Bitcoin, a decentralized digital currency, to pose competition to fiat currencies. To accomplish that, Bitcoin would have to become efficient as a store of value. Thus far, high volatility makes it inferior in that respect. We analyze the dynamics and drivers of Bitcoin volatility using GARCH and HAR models. Moreover, we test for presence of asymmetries displayed by stock, commodity and currency markets. That way we can conclude, whether volatility of Bitcoin behaves similarly to currencies, commodities or stocks. Lastly we reveal interconnections between these markets and market for Bitcoin. We find significant evidence for the leverage effect documented for stock market. Furthermore, the effect of trading volume, documented for currency markets, displays an opposite sign in our research. Results of spillover estimation suggest Bitcoin is the most interconnected with commodity market. Thus, we conclude Bitcoin does not behave similarly to currencies in terms of volatility; hence is not a good candidate to substitute them. JEL Classification E1, G1, G2, O3 Keywords Bitcoin, volatility, GARCH, leverage effect Author's e-mail 24805288@fsv.cuni.cz Supervisor's e-mail dedek@fsv.cuni.cz
|
|
|
CFD trading on the foreign exchange market
Krtička, Pavel ; Málek, Jiří (advisor) ; Radová, Jarmila (referee)
This bachelor thesis is concerned with the issue of CFDs, and it particularly focuses on those contracts that are traded in the international foreign exchange market. The introductory part of the thesis characterizes this type of market in detail, both in regard to financial instruments and in regard to its participants and the particular exchange currency pairs. The next part of the thesis is devoted to the actual CFDs, especially their characteristic features, types, advantages, disadvantages, and to comparing them with selected financial instruments. The part specifies the elementary types of trade orders that we, as a CFD trader, can encounter. The final part of the thesis is concerned with an example of entering into a CFD for a particular currency pair as viewed by an individual investor. The primary goal of the thesis is therefore to analyze and evaluate this type of financial derivative; its secondary goal is then to instill a certain idea of how such a contract can be used for real trade in the international foreign exchange market.
|
|
|
Analysis of the stock index volatility on European stock exchanges
Švehla, Pavel ; Hušek, Roman (advisor) ; Pelikán, Jan (referee)
This thesis focuses on analysis and comparison of volatility on selected European stock markets. At first paper briefly introduces the reader to the specific features of financial econometrics and the importance of asset returns volatility analysis. Further chapters precisely cover the construction of linear and nonlinear conditional heteroscedasticity models as an appropriate tool for describing the volatility in financial data. The empirical part of the thesis analyze four stock exchange indices from various European regions and seek appropriate models to express volatility behavior in period before the financial crisis in 2008 and also during the crisis phase. Based on selected models, the paper tries to compare the volatility in both periods within the specific stock market index and moreover between different regions. The last section examines asymmetric effects in volatility of stock indices using their graphical representation.
|
guest ::
