Tail Risk & Skewness
Last updated
Last updated
This indicator evaluates the tail risk of an asset. It assesses the potential for rare, extreme price fluctuations in a cryptocurrency, offering insights into the investment risk in highly volatile scenarios.
Tail risk is typically measured using a metric called Value at Risk (VaR) or Conditional Value at Risk (CVaR). VaR measures the maximum loss that won't be exceeded with a certain confidence level, while CVaR measures the expected loss in case the VaR is exceeded.
In addition, this indicator also evaluates the skewness or asymmetry in the distribution of a cryptocurrency's returns. It provides insights into potential risk, with negative skewness often indicating higher risk due to a larger number of extreme negative returns.
Skewness is calculated using a statistical formula that measures the degree of asymmetry of returns around its mean. A distribution with a positive skew has a long right tail (i.e., a higher probability of extreme positive returns), while a distribution with a negative skew has a long left tail (i.e., a higher probability of extreme negative returns).
This indicator is useful to measure and understand the potential for extreme losses in an asset's price. It provides an estimate of the maximum potential loss over a given time period, offering investors a way to quantify the extreme downside risk and manage their portfolio accordingly.
Furthermore, the skewness helps investors understand the nature of returns and potential risk in investing in a particular cryptocurrency. A negative skewness, indicating a higher probability of extreme negative returns, may be seen as higher risk. The same goes for a positive skewness, in which a higher chance for positive returns exists.