Correlation Between Troika Media and CMG Holdings
Can any of the company-specific risk be diversified away by investing in both Troika Media and CMG Holdings 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 Troika Media and CMG Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Troika Media Group and CMG Holdings Group, you can compare the effects of market volatilities on Troika Media and CMG Holdings 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 Troika Media with a short position of CMG Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Troika Media and CMG Holdings.
Diversification Opportunities for Troika Media and CMG Holdings
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Troika and CMG is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Troika Media Group and CMG Holdings Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CMG Holdings Group and Troika Media 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 Troika Media Group are associated (or correlated) with CMG Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CMG Holdings Group has no effect on the direction of Troika Media i.e., Troika Media and CMG Holdings go up and down completely randomly.
Pair Corralation between Troika Media and CMG Holdings
If you would invest 0.15 in CMG Holdings Group on December 27, 2024 and sell it today you would lose (0.02) from holding CMG Holdings Group or give up 13.33% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 0.0% |
Values | Daily Returns |
Troika Media Group vs. CMG Holdings Group
Performance |
Timeline |
Troika Media Group |
Risk-Adjusted Performance
Very Weak
Weak | Strong |
CMG Holdings Group |
Troika Media and CMG Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Troika Media and CMG Holdings
The main advantage of trading using opposite Troika Media and CMG Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Troika Media position performs unexpectedly, CMG Holdings 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 CMG Holdings will offset losses from the drop in CMG Holdings' long position.The idea behind Troika Media Group and CMG Holdings Group pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.CMG Holdings vs. Tautachrome | CMG Holdings vs. VNUE Inc | CMG Holdings vs. South Beach Spirits | CMG Holdings vs. North Bay Resources |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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