Correlation Between Quantified Tactical and First Trust
Can any of the company-specific risk be diversified away by investing in both Quantified Tactical and First Trust 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 Quantified Tactical and First Trust into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Quantified Tactical Sectors and First Trust Preferred, you can compare the effects of market volatilities on Quantified Tactical and First Trust 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 Quantified Tactical with a short position of First Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of Quantified Tactical and First Trust.
Diversification Opportunities for Quantified Tactical and First Trust
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Quantified and First is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Quantified Tactical Sectors and First Trust Preferred in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Trust Preferred and Quantified Tactical 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 Quantified Tactical Sectors are associated (or correlated) with First Trust. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Trust Preferred has no effect on the direction of Quantified Tactical i.e., Quantified Tactical and First Trust go up and down completely randomly.
Pair Corralation between Quantified Tactical and First Trust
Assuming the 90 days horizon Quantified Tactical Sectors is expected to generate 7.97 times more return on investment than First Trust. However, Quantified Tactical is 7.97 times more volatile than First Trust Preferred. It trades about 0.18 of its potential returns per unit of risk. First Trust Preferred is currently generating about 0.44 per unit of risk. If you would invest 671.00 in Quantified Tactical Sectors on June 29, 2025 and sell it today you would earn a total of 82.00 from holding Quantified Tactical Sectors or generate 12.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Quantified Tactical Sectors vs. First Trust Preferred
Performance |
Timeline |
Quantified Tactical |
First Trust Preferred |
Quantified Tactical and First Trust Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Quantified Tactical and First Trust
The main advantage of trading using opposite Quantified Tactical and First Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Quantified Tactical position performs unexpectedly, First Trust 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 First Trust will offset losses from the drop in First Trust's long position.Quantified Tactical vs. Spectrum Advisors Preferred | Quantified Tactical vs. Ontrack E Fund | Quantified Tactical vs. Ontrack E Fund | Quantified Tactical vs. Spectrum Unconstrained |
First Trust vs. First Trust Managed | First Trust vs. Franklin Templeton Multi Asset | First Trust vs. First Trust Multi Strategy | First Trust vs. First Trust Short |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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