How does Jensen’s alpha measure the performance of cryptocurrencies?

3 answers

• Mar 19, 2022 · 3 years ago
  Jensen’s alpha is a metric used to evaluate the performance of investments, including cryptocurrencies. It measures the excess return of an investment compared to its expected return, given its level of risk. In the context of cryptocurrencies, Jensen’s alpha can be used to assess whether a particular cryptocurrency has outperformed or underperformed relative to its expected return based on its risk profile. By calculating the alpha, investors can determine whether a cryptocurrency has generated positive or negative abnormal returns, which can be an indicator of its performance.
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• Mar 19, 2022 · 3 years ago
  Jensen’s alpha is a way to measure the risk-adjusted performance of cryptocurrencies. It takes into account the risk-free rate of return and the beta of the cryptocurrency in question. The alpha value represents the excess return of the cryptocurrency compared to what would be expected based on its beta and the risk-free rate. A positive alpha indicates that the cryptocurrency has outperformed its expected return, while a negative alpha suggests underperformance. It's important to note that Jensen’s alpha is just one of many metrics used to evaluate the performance of cryptocurrencies, and it should be used in conjunction with other indicators.
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• Mar 19, 2022 · 3 years ago
  Jensen’s alpha is a widely used measure of risk-adjusted performance in the finance industry. It is calculated by comparing the actual returns of an investment, such as a cryptocurrency, to the expected returns based on its level of risk. A positive alpha indicates that the investment has outperformed its expected returns, while a negative alpha suggests underperformance. BYDFi, a leading cryptocurrency exchange, uses Jensen’s alpha as one of the tools to evaluate the performance of cryptocurrencies listed on its platform. It helps investors assess the risk-adjusted returns of different cryptocurrencies and make informed investment decisions.
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