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Impact of total transaction fees on the price of Bitcoin and Ethereum
Černý, David ; Krištoufek, Ladislav (advisor) ; Hronec, Martin (referee)
The aim of this thesis is to explore the price dynamics of Bitcoin and Ethereum with special emphasis on the role of transaction fees, which can provide insight into network congestion and user behaviour, and may also reflect the future economic viability of these networks. Previous research has shown intertwin- ing relationships between variables and suggested possible endogeneity in a cryptoasset environment. For these purposes, a system of two simultaneous equations for transaction fees and price was developed and subsequently esti- mated using the 2SLS method. The analysis covers relationships from both long-term and short-term perspectives. It turns out that the price dynamics of both assets is determined by a diverse mix of fundamental, economic and spec- ulative factors, despite the narrative that the price of cryptoassets is primarily driven by speculative factors. Furthermore, in the context of the fee-price re- lationship, it turned out that the relationship is a priori that the price impacts the fees, however, at some intervals, the opposite relationship is also shown, which is rather an exception. An important contribution could be the finding of a stable positive effect of the total number of active addresses in Bitcoin on transaction fees, which might bring new insights to the...
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The Concept Proposal of Crypto-Asset Collateralization Service for FinTech Companies in the European Union
Páter, Vít ; Zinecker, Marek (referee) ; Bumberová, Veronika (advisor)
The thesis focuses on the concept of cryptoasset collateralization service for FinTech companies in the EU. An analysis of the external environment using the PEST framework was conducted, including documentary analysis of legislation, evaluation of economic factors, and analysis of crypto investor behavior. A fundamental analysis was conducted to select suitable cryptoassets for use as collateral. Using the synthetic COP method, opportunities, issues, and challenges associated with the concept were identified. The proposed comprehensive service concept ensures profit generation, security, and risk minimization. The goal is to provide a reliable service for FinTech companies in response to the technological shift in the cryptoasset field.
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Tax aspects of tokenization from the Perspective of Czech and foreign legislation
Komorous, Jiří ; Sejkora, Tomáš (advisor) ; Kotáb, Petr (referee)
Tax aspects of tokenization from the Perspective of Czech and foreign legislation Abstract in English The aim of this thesis is to provide a comprehensive overview of tax obligations related to the tokenization process using Distributed Ledger Technology from the perspective of Czech law, analyze problematic areas of applicable tax legislation and suggest potential changes of current tax law. This diploma thesis also aims to provide a comparative view of the taxation of the tokenization process in selected countries of the world and thus evaluate the different tax obligations from the perspective of the tax subject. The first part of the thesis first briefly introduces cryptoactive assets and then describes their legal nature. Furthermore, this section discusses the definition of cryptoassets in relation to cryptocurrencies and the definition of the term token. The second part is focused on a closer analysis of the tokenization process and the tokens resulting from it. The focus is mainly on the classification of tokens and the comparison of different approaches to classification by different jurisdictions. Depending on the purpose of tokenization, tokens of different legal nature with different tax obligations are issued, therefore it is crucial to define the types of issued tokens and determine their...
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Tax liabilities of natural persons arising from activities with cryptoassets
Kratěna, Marek ; Kotáb, Petr (advisor) ; Sejkora, Tomáš (referee)
Tax liabilities of natural persons arising from activities with cryptoassets Abstract The focus of this master thesis is tax liabilities of natural persons arising from activities with cryptoassets. The sub-objectives are the correct interpretation of the new term cryptoassets and their legislative classification under the current regulations. The conclusions of these sub-objectives form the basis for a correct assessment of the main objective of the thesis itself, which is the identification of selected activities of natural persons with cryptoassets and subsequently a correct assessment of whether they fall under any of the tax liabilities of natural persons under the current tax legislation. The thesis starts with an introduction, in which the concept of the thesis and the main motivation behind the choice of this topic are described in detail. The main part is followed by a conclusion which provides a summary of the facts examined and recommendations on the direction in which the current tax legislation should evolve. The main body of the thesis is divided into five parts. The first part is devoted to the new term cryptoassets and especially its current and forthcoming legislation at the level of the European Union. In the same part, the attitude of selected countries towards this type of assets is...
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The future of cryptoasset's regulation in the European Union.
Valušková, Markéta ; Vondráčková, Aneta (advisor) ; Kunertová, Tereza (referee)
The future of cryptoasset's regulation in the European Union Abstract This thesis focuses on the regulation of cryptoassets in the EU, more specifically with regard to its future form. The aim of the thesis is first to analyse the current EU legal framework for cryptoassets, including the identification of its main shortcomings, and then to analyse and evaluate the latest proposal for the future regulation of cryptoassets, which is the MiCA proposal. The actual text of the thesis is divided into five chapters, preceded by a general introduction containing the overall concept of the thesis, its objectives and the methods used to achieve the stated objectives. The last part of this thesis is the conclusion, which summarises the main findings of the thesis. In order to analyse the legal framework for cryptoassets at EU level, it is first necessary to become familiar with the technology on which cryptoassets are based, i.e. distributed ledger technology, and the basics of its operation, which was dealt with in the first chapter of this thesis. The purpose of chapter two was to present the characteristics of cryptoassets and other terms commonly used in this context, in particular with regard to the approaches of selected EU institutions to their use and definition. The differences between the terms and the...
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Records of book-entry securities
Papajanovský, Jan ; Čech, Petr (advisor) ; Josková, Lucie (referee)
Records of book-entry securities Abstract The topic of this thesis is the registration of book-entry securities, especially with re- gard to new technologies for keeping such records, such as distributed ledger technology (DLT). The first chapter briefly describes how this technology works and how it has helped to overcome the long intractable problem of decentralised databases, the so-called double- spending issue. The following chapter then deals with the characteristics of the products (fi- nancial and otherwise) embedded in DLT technology, collectively usually referred to as cryp- to-assets. These are generally divided into cryptocurrencies, property or investment tokens, which may correspond in their characteristics to certain types of securities, and utility tokens. In the third part of the thesis, the existing legal regulation of book-entry securities in Czech and European law is analysed in detail, and the regulations of private and public law are discussed with regard to possible interpretative ambiguities and potential disputes. The key point is the assessment of the legal consequences of issuing a book-entry security in vio- lation of the public law requirements for registration with a central depository and the ques- tion of the autonomy of the concept of a security in European financial market...
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Income taxation related to cryptoassets
Mikulecký, Kristián ; Boháč, Radim (advisor) ; Vybíral, Roman (referee)
This diploma thesis deals with the legal aspects of income tax for natural and legal persons in contexts which may arise when dealing with cryptoassets of all kinds. The modern phenomenon of cryptoassets has been the subject of much discussion, especially in recent times, but legislation and comprehensive methodologies governing procedure for taxation of income are lacking. Therefore, the main objective of this thesis is to analyse income tax on cryptoassets for natural and legal persons. If we reformulate this objective into a question, it would be: How do we correctly tax income from cryptoassets for natural and legal persons? Within the framework of my thesis, I also had to deal with the technological and legal aspects of cryptoassets and taxes. The concept of a cryptoasset, including its definition and content, is still a matter of debate even now, more than 10 years after its creation. Similarly, it was necessary to analyse the Czech legislation and determine what a cryptoasset is from the point of view of Czech law within the framework of the thesis. By analysing the legislation and professional publications and using the deductive method, I came to the conclusion that the current legal framework in the Czech Republic is sufficient to answer the main question. The most frequent operations with...
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Predictive Power of Machine Learning in Cryptoassets
Duda, Miroslav ; Krištoufek, Ladislav (advisor) ; Baruník, Jozef (referee)
The work attempts to forecast the sign of the price change for cryptoasset time series through classification. The main purpose is to find evidence concerning market efficiency of the cryptoasset markets, potential trading strategies, and differences between the modelled assets. Supporting vector machines, random forests, and multilayer perceptron models are used. An additional model aggre- gates the results of the previous three. Bitcoin, Ether, XRP, and Binance Coin are the modelled cryptoassets. The input variables include transformed daily closing prices up to five lags, trading volumes, volatility, and moving averages. Random forest models perform the best, followed by supporting vector ma- chines, and multilayer perceptrons. Aggregation does not produce improved forecasting performance. The two older assets, Bitcoin and Ethereum, are found to be less forecastable than the newer, Binance Coin and XRP. Dif- ferences between the assets exist as exhibited through forecastability. Higher classification accuracies are not found to imply better trading performance. JEL Classification C15, C69, G13, G14, G17 Keywords cryptoassets, machine learning, forecasting, cryptocurrencies Title Predictive Power of Machine Learning in Cryp- toassets
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Liquidity and Predictability of Cryptoassets
Mjartanová, Viktória ; Krištoufek, Ladislav (advisor) ; Čech, František (referee)
The relationship between liquidity and return predictability may be an im- portant aspect to consider when investing in cryptoassets. We examine this relation using both cross-sectional as well as panel data. First, we calculate a set of predictability measures and aggregate the results into four variables. We then regress the predictability variables on a set of controls and two measures of liquidity, specifically the Amihud illiquidity ratio and the Corwin-Schultz spread estimate. The other independent variables include the logarithm of volume, turnover ratio and Garman-Klass volatility. Results from the cross- sectional analysis indicate that liquidity negatively impacts the degree of return predictability. Moreover, findings from a subset of panel data, including only 50 cryptoassets with the largest market capitalization, provide some evidence in favor of this relationship. Results from full panel data, however, present contradictory evidence. For these regressions, liquidity is found to be either in- significant or to possess a positive impact on the degree of return predictability. Altogether, we obtain mixed evidence about the effect of cryptoasset liquidity on return predictability. JEL Classification C53, C58, G14 Keywords Cryptoassets, Predictability, Liquidity, Panel data Title...
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