Correlation Between Doubleline Total and First Trust
Can any of the company-specific risk be diversified away by investing in both Doubleline Total 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 Doubleline Total and First Trust into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Doubleline Total Return and First Trust Multi Strategy, you can compare the effects of market volatilities on Doubleline Total 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 Doubleline Total with a short position of First Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of Doubleline Total and First Trust.
Diversification Opportunities for Doubleline Total and First Trust
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Doubleline and First is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Doubleline Total Return and First Trust Multi Strategy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Trust Multi and Doubleline Total 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 Doubleline Total Return 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 Multi has no effect on the direction of Doubleline Total i.e., Doubleline Total and First Trust go up and down completely randomly.
Pair Corralation between Doubleline Total and First Trust
Assuming the 90 days horizon Doubleline Total Return is expected to generate 2.27 times more return on investment than First Trust. However, Doubleline Total is 2.27 times more volatile than First Trust Multi Strategy. It trades about 0.19 of its potential returns per unit of risk. First Trust Multi Strategy is currently generating about 0.31 per unit of risk. If you would invest 866.00 in Doubleline Total Return on July 8, 2025 and sell it today you would earn a total of 26.00 from holding Doubleline Total Return or generate 3.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Doubleline Total Return vs. First Trust Multi Strategy
Performance |
Timeline |
Doubleline Total Return |
First Trust Multi |
Doubleline Total and First Trust Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Doubleline Total and First Trust
The main advantage of trading using opposite Doubleline Total and First Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Doubleline Total 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.Doubleline Total vs. Doubleline Strategic Modity | Doubleline Total vs. Doubleline Emerging Markets | Doubleline Total vs. Doubleline Emerging Markets | Doubleline Total vs. Doubleline Floating Rate |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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