Intech Us Standard Deviation

JRSSX Fund  USD 12.13  0.20  1.62%   
Intech Us standard-deviation technical analysis lookup allows you to check this and other technical indicators for Intech Managed Volatility or any other equities. You can select from a set of available technical indicators by clicking on the link to the right. Please note, not all equities are covered by this module due to inconsistencies in global equity categorizations and data normalization technicques. Please check also Equity Screeners to view more equity screening tools
  
Intech Managed Volatility has current Standard Deviation of 0.8522. 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)

 = 
0.8522
SQRT = Square root notation
V =   Variance of Intech Us returns

Intech Us Standard Deviation Peers Comparison

0.7340.8520.8500.3280.85816%-61%162%100%

Intech Standard Deviation Relative To Other Indicators

Intech Managed Volatility is rated third overall fund in standard deviation among similar funds. It is currently under evaluation in maximum drawdown among similar funds reporting about  4.40  of Maximum Drawdown per Standard Deviation. The ratio of Maximum Drawdown to Standard Deviation for Intech Managed Volatility is roughly  4.40 
JavaScript chart by amCharts 3.21.15JADGXJRSCXJRSIXJADFXJDHYXJRSSX 02468101214 00.51.01.5
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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