Correlation Between Putnam High and Channing Intrinsic
Can any of the company-specific risk be diversified away by investing in both Putnam High and Channing Intrinsic 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 Channing Intrinsic 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 Channing Intrinsic Value, you can compare the effects of market volatilities on Putnam High and Channing Intrinsic 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 Channing Intrinsic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Putnam High and Channing Intrinsic.
Diversification Opportunities for Putnam High and Channing Intrinsic
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Putnam and Channing is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Putnam High Income and Channing Intrinsic Value in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Channing Intrinsic Value 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 Channing Intrinsic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Channing Intrinsic Value has no effect on the direction of Putnam High i.e., Putnam High and Channing Intrinsic go up and down completely randomly.
Pair Corralation between Putnam High and Channing Intrinsic
Considering the 90-day investment horizon Putnam High Income is expected to generate 0.51 times more return on investment than Channing Intrinsic. However, Putnam High Income is 1.97 times less risky than Channing Intrinsic. It trades about 0.18 of its potential returns per unit of risk. Channing Intrinsic Value is currently generating about -0.12 per unit of risk. If you would invest 626.00 in Putnam High Income on December 21, 2024 and sell it today you would earn a total of 43.00 from holding Putnam High Income or generate 6.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Putnam High Income vs. Channing Intrinsic Value
Performance |
Timeline |
Putnam High Income |
Channing Intrinsic Value |
Putnam High and Channing Intrinsic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Putnam High and Channing Intrinsic
The main advantage of trading using opposite Putnam High and Channing Intrinsic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Putnam High position performs unexpectedly, Channing Intrinsic 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 Channing Intrinsic will offset losses from the drop in Channing Intrinsic'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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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