Correlation Between Putnam High and Doubleline Yield
Can any of the company-specific risk be diversified away by investing in both Putnam High and Doubleline Yield 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 Putnam High and Doubleline Yield into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Putnam High Income and Doubleline Yield Opportunities, you can compare the effects of market volatilities on Putnam High and Doubleline Yield 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 Putnam High with a short position of Doubleline Yield. Check out your portfolio center. Please also check ongoing floating volatility patterns of Putnam High and Doubleline Yield.
Diversification Opportunities for Putnam High and Doubleline Yield
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Putnam and Doubleline is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Putnam High Income and Doubleline Yield Opportunities in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Doubleline Yield Opp and Putnam High 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 Putnam High Income are associated (or correlated) with Doubleline Yield. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Doubleline Yield Opp has no effect on the direction of Putnam High i.e., Putnam High and Doubleline Yield go up and down completely randomly.
Pair Corralation between Putnam High and Doubleline Yield
Considering the 90-day investment horizon Putnam High Income is expected to generate 1.45 times more return on investment than Doubleline Yield. However, Putnam High is 1.45 times more volatile than Doubleline Yield Opportunities. It trades about 0.07 of its potential returns per unit of risk. Doubleline Yield Opportunities is currently generating about 0.04 per unit of risk. If you would invest 662.00 in Putnam High Income on December 1, 2024 and sell it today you would earn a total of 20.00 from holding Putnam High Income or generate 3.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Putnam High Income vs. Doubleline Yield Opportunities
Performance |
Timeline |
Putnam High Income |
Doubleline Yield Opp |
Putnam High and Doubleline Yield Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Putnam High and Doubleline Yield
The main advantage of trading using opposite Putnam High and Doubleline Yield positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Putnam High position performs unexpectedly, Doubleline Yield 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 Doubleline Yield will offset losses from the drop in Doubleline Yield's long position.Putnam High vs. RiverNorthDoubleLine Strategic Opportunity | Putnam High vs. Cornerstone Strategic Return | Putnam High vs. Oxford Lane Capital | Putnam High vs. Horizon Technology Finance |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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