Correlation Between Sigma Labs and Grid Dynamics
Can any of the company-specific risk be diversified away by investing in both Sigma Labs and Grid Dynamics at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Sigma Labs and Grid Dynamics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sigma Labs and Grid Dynamics Holdings, you can compare the effects of market volatilities on Sigma Labs and Grid Dynamics and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Sigma Labs with a short position of Grid Dynamics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sigma Labs and Grid Dynamics.
Diversification Opportunities for Sigma Labs and Grid Dynamics
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Sigma and Grid is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding Sigma Labs and Grid Dynamics Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Grid Dynamics Holdings and Sigma Labs is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Sigma Labs are associated (or correlated) with Grid Dynamics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Grid Dynamics Holdings has no effect on the direction of Sigma Labs i.e., Sigma Labs and Grid Dynamics go up and down completely randomly.
Pair Corralation between Sigma Labs and Grid Dynamics
Given the investment horizon of 90 days Sigma Labs is expected to under-perform the Grid Dynamics. In addition to that, Sigma Labs is 2.39 times more volatile than Grid Dynamics Holdings. It trades about -0.1 of its total potential returns per unit of risk. Grid Dynamics Holdings is currently generating about 0.05 per unit of volatility. If you would invest 1,302 in Grid Dynamics Holdings on October 5, 2024 and sell it today you would earn a total of 898.00 from holding Grid Dynamics Holdings or generate 68.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 23.53% |
Values | Daily Returns |
Sigma Labs vs. Grid Dynamics Holdings
Performance |
Timeline |
Sigma Labs |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Grid Dynamics Holdings |
Sigma Labs and Grid Dynamics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sigma Labs and Grid Dynamics
The main advantage of trading using opposite Sigma Labs and Grid Dynamics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sigma Labs position performs unexpectedly, Grid Dynamics can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Grid Dynamics will offset losses from the drop in Grid Dynamics' long position.Sigma Labs vs. Flint Telecom Group | Sigma Labs vs. Castellum | Sigma Labs vs. Datametrex AI Limited | Sigma Labs vs. TTEC Holdings |
Grid Dynamics vs. ExlService Holdings | Grid Dynamics vs. ASGN Inc | Grid Dynamics vs. WNS Holdings | Grid Dynamics vs. Gartner |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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