Correlation Between Putnam Floating and Putnam Floating
Can any of the company-specific risk be diversified away by investing in both Putnam Floating and Putnam Floating 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 Floating and Putnam Floating into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Putnam Floating Rate and Putnam Floating Rate, you can compare the effects of market volatilities on Putnam Floating and Putnam Floating 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 Floating with a short position of Putnam Floating. Check out your portfolio center. Please also check ongoing floating volatility patterns of Putnam Floating and Putnam Floating.
Diversification Opportunities for Putnam Floating and Putnam Floating
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Putnam and Putnam is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Putnam Floating Rate and Putnam Floating Rate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Putnam Floating Rate and Putnam Floating 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 Floating Rate are associated (or correlated) with Putnam Floating. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Putnam Floating Rate has no effect on the direction of Putnam Floating i.e., Putnam Floating and Putnam Floating go up and down completely randomly.
Pair Corralation between Putnam Floating and Putnam Floating
Assuming the 90 days horizon Putnam Floating is expected to generate 1.12 times less return on investment than Putnam Floating. In addition to that, Putnam Floating is 1.13 times more volatile than Putnam Floating Rate. It trades about 0.28 of its total potential returns per unit of risk. Putnam Floating Rate is currently generating about 0.35 per unit of volatility. If you would invest 793.00 in Putnam Floating Rate on August 24, 2024 and sell it today you would earn a total of 7.00 from holding Putnam Floating Rate or generate 0.88% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 95.65% |
| Values | Daily Returns |
Putnam Floating Rate vs. Putnam Floating Rate
Performance |
| Timeline |
| Putnam Floating Rate |
| Putnam Floating Rate |
Putnam Floating and Putnam Floating Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Putnam Floating and Putnam Floating
The main advantage of trading using opposite Putnam Floating and Putnam Floating positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Putnam Floating position performs unexpectedly, Putnam Floating 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 Floating will offset losses from the drop in Putnam Floating's long position.| Putnam Floating vs. Siit Emerging Markets | Putnam Floating vs. Crossmark Steward Equity | Putnam Floating vs. Extended Market Index | Putnam Floating vs. Aqr Long Short Equity |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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