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Risk Analysis of Selected Cryptocurrencies in Personal Finance
Strouhal, Tomáš ; Stroukal,, Dominik (referee) ; Karpíšek, Zdeněk (advisor)
This diploma thesis deals with cryptocurrency’s risk regarding other investment opportunities, such as funds. The aim of the work is to present a simple indicator of risk and reward in order to place cryptocurrencies in the context of other investments. First, selected cryptocurrencies are described, then their characteristics are compared with the funds. Synthetic risk and reward indicator is used as a tool to compare risk and reward of cryptocurrencies with the funds. This indicator is modified to match the cryptocurrency’s characteristics and still have a narrative value. After this modification, it is used to calculate the risk and reward of the S&P 500, Allianz Global Artificial Intelligence, Binance Coin, Bitcoin, Cardano, Ethereum, Solana, Tether, USD Coin and XRP. The results show that the original range of the indicator is insufficient given the higher volatility of cryptocurrencies, which it is unable to reflect. Conversely, the adjusted indicator is already very good at calculating with higher volatility in cryptocurrencies and assigning them to a higher risk class.
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Risk Analysis of Selected Cryptocurrencies in Personal Finance
Strouhal, Tomáš ; Stroukal,, Dominik (referee) ; Karpíšek, Zdeněk (advisor)
This diploma thesis deals with cryptocurrency’s risk regarding other investment opportunities, such as funds. The aim of the work is to present a simple indicator of risk and reward in order to place cryptocurrencies in the context of other investments. First, selected cryptocurrencies are described, then their characteristics are compared with the funds. Synthetic risk and reward indicator is used as a tool to compare risk and reward of cryptocurrencies with the funds. This indicator is modified to match the cryptocurrency’s characteristics and still have a narrative value. After this modification, it is used to calculate the risk and reward of the S&P 500, Allianz Global Artificial Intelligence, Binance Coin, Bitcoin, Cardano, Ethereum, Solana, Tether, USD Coin and XRP. The results show that the original range of the indicator is insufficient given the higher volatility of cryptocurrencies, which it is unable to reflect. Conversely, the adjusted indicator is already very good at calculating with higher volatility in cryptocurrencies and assigning them to a higher risk class.
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