Correlation Between Jpmorgan High and Putnam Convertible
Can any of the company-specific risk be diversified away by investing in both Jpmorgan High and Putnam Convertible 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 Jpmorgan High and Putnam Convertible into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jpmorgan High Yield and Putnam Vertible Securities, you can compare the effects of market volatilities on Jpmorgan High and Putnam Convertible 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 Jpmorgan High with a short position of Putnam Convertible. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jpmorgan High and Putnam Convertible.
Diversification Opportunities for Jpmorgan High and Putnam Convertible
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between Jpmorgan and Putnam is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding Jpmorgan High Yield and Putnam Vertible Securities in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Putnam Vertible Secu and Jpmorgan 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 Jpmorgan High Yield are associated (or correlated) with Putnam Convertible. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Putnam Vertible Secu has no effect on the direction of Jpmorgan High i.e., Jpmorgan High and Putnam Convertible go up and down completely randomly.
Pair Corralation between Jpmorgan High and Putnam Convertible
Assuming the 90 days horizon Jpmorgan High Yield is expected to generate 0.22 times more return on investment than Putnam Convertible. However, Jpmorgan High Yield is 4.55 times less risky than Putnam Convertible. It trades about 0.15 of its potential returns per unit of risk. Putnam Vertible Securities is currently generating about -0.07 per unit of risk. If you would invest 637.00 in Jpmorgan High Yield on December 22, 2024 and sell it today you would earn a total of 10.00 from holding Jpmorgan High Yield or generate 1.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Jpmorgan High Yield vs. Putnam Vertible Securities
Performance |
Timeline |
Jpmorgan High Yield |
Putnam Vertible Secu |
Jpmorgan High and Putnam Convertible Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jpmorgan High and Putnam Convertible
The main advantage of trading using opposite Jpmorgan High and Putnam Convertible positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jpmorgan High position performs unexpectedly, Putnam Convertible 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 Putnam Convertible will offset losses from the drop in Putnam Convertible's long position.Jpmorgan High vs. Nationwide Highmark Short | Jpmorgan High vs. Short Intermediate Bond Fund | Jpmorgan High vs. T Rowe Price | Jpmorgan High vs. Blackrock Global Longshort |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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