Acclivity Small Standard Deviation

AXVIX Fund  USD 19.04  -0.01  -0.05%   
The Standard Deviation technical lookup provides context for Acclivity Small Cap and related instruments. Coverage varies by data normalization and availability; see Equity Screeners for broader screening context. Trending Equities provides context for diversified portfolio construction. Such insight adds context to allocation decisions within a diversified portfolio. This reflects a position in Acclivity Small Cap within the portfolio mix. Also, note that the market value of any mutual fund could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.
  
Acclivity Small Cap has current Standard Deviation of 1.02. The Standard Deviation is a measure of how spread out the prices or returns of an asset are on average. It is the most widely used risk indicator in the field of investing and finance. Standard Deviation is commonly used to measure confidence in statistical conclusions regarding certain equity instruments or portfolios of equities.

Standard Deviation

=

SQRT(V)

 = 
1.02
SQRT = Square root notation
V =   Variance of Acclivity Small returns

Acclivity Small Standard Deviation Peers Comparison

Acclivity Standard Deviation Relative To Other Indicators

Acclivity Small Cap is rated below average in standard deviation among similar funds. It is currently under evaluation in maximum drawdown among similar funds reporting about 5.09 of Maximum Drawdown per Standard Deviation. At 5.09 , Acclivity Small Cap's Maximum Drawdown-to-Standard Deviation multiple reflects the spread between these metrics
Standard deviation is applied to the annual rate of return of an investment to measure the investment's volatility. Standard deviation is also known as historical volatility and is used by investors as a gauge for the amount of expected market volatility. A large standard deviation usually indicates that the data points are far from the mean and a small standard deviation indicates that they are clustered closely around the mean.
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