Correlation Between First Trust and Evolve Cyber
Can any of the company-specific risk be diversified away by investing in both First Trust and Evolve Cyber 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 First Trust and Evolve Cyber into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Trust Senior and Evolve Cyber Security, you can compare the effects of market volatilities on First Trust and Evolve Cyber 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 First Trust with a short position of Evolve Cyber. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Trust and Evolve Cyber.
Diversification Opportunities for First Trust and Evolve Cyber
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between First and Evolve is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding First Trust Senior and Evolve Cyber Security in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Evolve Cyber Security and First Trust 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 First Trust Senior are associated (or correlated) with Evolve Cyber. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Evolve Cyber Security has no effect on the direction of First Trust i.e., First Trust and Evolve Cyber go up and down completely randomly.
Pair Corralation between First Trust and Evolve Cyber
Assuming the 90 days trading horizon First Trust is expected to generate 4.55 times less return on investment than Evolve Cyber. But when comparing it to its historical volatility, First Trust Senior is 2.1 times less risky than Evolve Cyber. It trades about 0.07 of its potential returns per unit of risk. Evolve Cyber Security is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 4,730 in Evolve Cyber Security on September 13, 2024 and sell it today you would earn a total of 555.00 from holding Evolve Cyber Security or generate 11.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
First Trust Senior vs. Evolve Cyber Security
Performance |
Timeline |
First Trust Senior |
Evolve Cyber Security |
First Trust and Evolve Cyber Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Trust and Evolve Cyber
The main advantage of trading using opposite First Trust and Evolve Cyber positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Trust position performs unexpectedly, Evolve Cyber 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 Evolve Cyber will offset losses from the drop in Evolve Cyber's long position.First Trust vs. First Trust Global | First Trust vs. FT AlphaDEX Industrials | First Trust vs. First Trust Value | First Trust vs. Global X Active |
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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 Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
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