Orbit Garant Standard Deviation
| OGD Stock | | | CAD 1.78 -0.03 -1.66% |
The Standard Deviation profile for Orbit Garant Drilling is based on historical price and volume observations. The dataset is based on observed market activity where data is available. Coverage may vary depending on data availability and normalization methods. Orbit Garant has a market cap of 67.53 M, operating margin of 4.09%, ROE of 8.56%. See
Your Equity Center for additional portfolio context. The allocation summary reflects available position data. The allocation includes a position in Orbit Garant Drilling. It is distributed across the allocation. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in inflation.
Orbit Garant Drilling has current Standard Deviation of 3.89. 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) |
| = | 3.89 | |
Standard Deviation Peers Comparison
Standard Deviation Relative To Other Indicators
Orbit Garant Drilling is rated
below average in standard deviation compared to key competitors. It is currently under evaluation in maximum drawdown compared to key competitors producing
4.95 in Maximum Drawdown for each unit of Standard Deviation. The spread between Maximum Drawdown and Standard Deviation for Orbit Garant Drilling sits at
4.95 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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