Correlation Between Putnam High and Putnam Convertible
Can any of the company-specific risk be diversified away by investing in both Putnam 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 Putnam 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 Putnam High Yield and Putnam Convertible Securities, you can compare the effects of market volatilities on Putnam 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 Putnam High with a short position of Putnam Convertible. Check out your portfolio center. Please also check ongoing floating volatility patterns of Putnam High and Putnam Convertible.
Diversification Opportunities for Putnam High and Putnam Convertible
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Putnam and Putnam is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding Putnam High Yield and Putnam Convertible Securities in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Putnam Convertible 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 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 Convertible has no effect on the direction of Putnam High i.e., Putnam High and Putnam Convertible go up and down completely randomly.
Pair Corralation between Putnam High and Putnam Convertible
Assuming the 90 days horizon Putnam High is expected to generate 1.97 times less return on investment than Putnam Convertible. But when comparing it to its historical volatility, Putnam High Yield is 5.1 times less risky than Putnam Convertible. It trades about 0.11 of its potential returns per unit of risk. Putnam Convertible Securities is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 2,770 in Putnam Convertible Securities on September 10, 2025 and sell it today you would earn a total of 56.00 from holding Putnam Convertible Securities or generate 2.02% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Putnam High Yield vs. Putnam Convertible Securities
Performance |
| Timeline |
| Putnam High Yield |
| Putnam Convertible |
Putnam High and Putnam Convertible Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Putnam High and Putnam Convertible
The main advantage of trading using opposite Putnam High and Putnam Convertible positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Putnam 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.| Putnam High vs. Gmo Small Cap | Putnam High vs. Artisan Small Cap | Putnam High vs. Aqr Small Cap | Putnam High vs. Lebenthal Lisanti Small |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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