Why is the semi standard deviation an important metric for evaluating cryptocurrency volatility?

3 answers

• Do NhanNov 12, 2020 · 5 years ago
  The semi standard deviation is an important metric for evaluating cryptocurrency volatility because it provides a more accurate measure of downside risk. Unlike the standard deviation, which considers all deviations from the mean, the semi standard deviation only takes into account negative deviations. This means that it focuses specifically on the downside volatility of a cryptocurrency, which is crucial for investors who want to assess the potential losses they may incur. By using the semi standard deviation, investors can better understand the downside risk associated with a particular cryptocurrency and make more informed investment decisions.
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• lochy17Dec 21, 2023 · a year ago
  The semi standard deviation is like the cool kid in town when it comes to evaluating cryptocurrency volatility. It's all about measuring the downside risk, baby! Unlike the standard deviation that considers all deviations from the mean, the semi standard deviation only looks at the negative deviations. This means it gives you a clearer picture of how much a cryptocurrency can drop in value. So, if you're an investor who wants to know the potential losses you might face, the semi standard deviation is your go-to metric. It's like having a crystal ball for downside risk assessment!
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• Kenney WibergAug 28, 2020 · 5 years ago
  The semi standard deviation is an important metric for evaluating cryptocurrency volatility because it focuses on the downside risk, which is crucial for investors. Unlike the standard deviation, which considers both positive and negative deviations, the semi standard deviation only takes into account negative deviations. This means that it provides a more accurate measure of the potential losses that investors may face. By using the semi standard deviation, investors can assess the downside volatility of a cryptocurrency and make more informed decisions about their investments. It's like having a risk-o-meter specifically designed for the downside!
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