Holmes Place Standard Deviation

HLMS Stock  ILA 636.50  2.30  0.36%   
Holmes Place standard-deviation technical analysis lookup allows you to check this and other technical indicators for Holmes Place International 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
  
Holmes Place International has current Standard Deviation of 1.76. 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)

 = 
1.76
SQRT = Square root notation
V =   Variance of Holmes Place returns

Holmes Place Standard Deviation Peers Comparison

0.781.761.541.901.39125%-12%23%-27%100%

Holmes Standard Deviation Relative To Other Indicators

Holmes Place International is rated # 3 in standard deviation category among its peers. It is currently under evaluation in maximum drawdown category among its peers reporting about  5.35  of Maximum Drawdown per Standard Deviation. The ratio of Maximum Drawdown to Standard Deviation for Holmes Place International is roughly  5.35 
JavaScript chart by amCharts 3.21.15ELALDLEKGFTALMTRXLUMIHLMS 051015 00.51.01.52.02.53.03.5
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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