ALGER SPECTRA Standard Deviation

ASPIX Fund  USD 31.30  -0.95  -2.95%   
Technical inputs supporting the Standard Deviation indicator for Alger Spectra Fund are shown here. Values are derived from historical price and volume observations. Use Trending Equities to better understand diversified portfolio construction. Position sizing and allocation together define the portfolio construction approach. The allocation includes a position in Alger Spectra Fund. The position falls within the allocation view. 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.
Alger Spectra Fund has current Standard Deviation of 1.41. 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)

 = 
1.41
SQRT = Square root notation
V =   Variance of ALGER SPECTRA returns

Standard Deviation Peers Comparison

Standard Deviation Relative To Other Indicators

Alger Spectra Fund ranks first in standard deviation among similar funds. It is currently under evaluation in maximum drawdown among similar funds reporting about 4.49 of Maximum Drawdown per Standard Deviation. At 4.49 , Alger Spectra Fund'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. Compare ALGER SPECTRA to Peers

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