Correlation Between Blue Line and Guardforce
Can any of the company-specific risk be diversified away by investing in both Blue Line and Guardforce 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 Blue Line and Guardforce into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Blue Line Protection and Guardforce AI Co, you can compare the effects of market volatilities on Blue Line and Guardforce 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 Blue Line with a short position of Guardforce. Check out your portfolio center. Please also check ongoing floating volatility patterns of Blue Line and Guardforce.
Diversification Opportunities for Blue Line and Guardforce
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Blue and Guardforce is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Blue Line Protection and Guardforce AI Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guardforce AI and Blue Line 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 Blue Line Protection are associated (or correlated) with Guardforce. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guardforce AI has no effect on the direction of Blue Line i.e., Blue Line and Guardforce go up and down completely randomly.
Pair Corralation between Blue Line and Guardforce
Given the investment horizon of 90 days Blue Line Protection is expected to under-perform the Guardforce. But the pink sheet apears to be less risky and, when comparing its historical volatility, Blue Line Protection is 3.96 times less risky than Guardforce. The pink sheet trades about -0.07 of its potential returns per unit of risk. The Guardforce AI Co is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 20.00 in Guardforce AI Co on October 11, 2024 and sell it today you would earn a total of 32.00 from holding Guardforce AI Co or generate 160.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Blue Line Protection vs. Guardforce AI Co
Performance |
Timeline |
Blue Line Protection |
Guardforce AI |
Blue Line and Guardforce Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Blue Line and Guardforce
The main advantage of trading using opposite Blue Line and Guardforce positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Blue Line position performs unexpectedly, Guardforce 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 Guardforce will offset losses from the drop in Guardforce's long position.Blue Line vs. BIO Key International | Blue Line vs. LogicMark | Blue Line vs. Knightscope | Blue Line vs. Guardforce AI Co |
Guardforce vs. Inspira Technologies Oxy | Guardforce vs. American Rebel Holdings | Guardforce vs. TC BioPharm plc | Guardforce vs. bioAffinity Technologies Warrant |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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