Correlation Between Gatekeeper Systems and LogicMark
Can any of the company-specific risk be diversified away by investing in both Gatekeeper Systems and LogicMark 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 Gatekeeper Systems and LogicMark into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gatekeeper Systems and LogicMark, you can compare the effects of market volatilities on Gatekeeper Systems and LogicMark 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 Gatekeeper Systems with a short position of LogicMark. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gatekeeper Systems and LogicMark.
Diversification Opportunities for Gatekeeper Systems and LogicMark
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Gatekeeper and LogicMark is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Gatekeeper Systems and LogicMark in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LogicMark and Gatekeeper Systems 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 Gatekeeper Systems are associated (or correlated) with LogicMark. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LogicMark has no effect on the direction of Gatekeeper Systems i.e., Gatekeeper Systems and LogicMark go up and down completely randomly.
Pair Corralation between Gatekeeper Systems and LogicMark
Assuming the 90 days horizon Gatekeeper Systems is expected to generate 0.44 times more return on investment than LogicMark. However, Gatekeeper Systems is 2.25 times less risky than LogicMark. It trades about 0.29 of its potential returns per unit of risk. LogicMark is currently generating about -0.33 per unit of risk. If you would invest 31.00 in Gatekeeper Systems on May 3, 2025 and sell it today you would earn a total of 60.00 from holding Gatekeeper Systems or generate 193.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 36.07% |
Values | Daily Returns |
Gatekeeper Systems vs. LogicMark
Performance |
Timeline |
Gatekeeper Systems |
LogicMark |
Risk-Adjusted Performance
Very Weak
Weak | Strong |
Gatekeeper Systems and LogicMark Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gatekeeper Systems and LogicMark
The main advantage of trading using opposite Gatekeeper Systems and LogicMark positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gatekeeper Systems position performs unexpectedly, LogicMark 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 LogicMark will offset losses from the drop in LogicMark's long position.Gatekeeper Systems vs. Guardforce AI Co | Gatekeeper Systems vs. Knightscope | Gatekeeper Systems vs. Bridger Aerospace Group | Gatekeeper Systems vs. Iveda Solutions Warrant |
LogicMark vs. Guardforce AI Co | LogicMark vs. Knightscope | LogicMark vs. Bridger Aerospace Group | LogicMark vs. Iveda Solutions |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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