Correlation Between Putnam Floating and Bts Managed
Can any of the company-specific risk be diversified away by investing in both Putnam Floating and Bts Managed 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 Bts Managed 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 Bts Managed Income, you can compare the effects of market volatilities on Putnam Floating and Bts Managed 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 Bts Managed. Check out your portfolio center. Please also check ongoing floating volatility patterns of Putnam Floating and Bts Managed.
Diversification Opportunities for Putnam Floating and Bts Managed
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Putnam and Bts is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Putnam Floating Rate and Bts Managed Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bts Managed Income 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 Bts Managed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bts Managed Income has no effect on the direction of Putnam Floating i.e., Putnam Floating and Bts Managed go up and down completely randomly.
Pair Corralation between Putnam Floating and Bts Managed
Assuming the 90 days horizon Putnam Floating Rate is expected to generate 0.5 times more return on investment than Bts Managed. However, Putnam Floating Rate is 2.01 times less risky than Bts Managed. It trades about 0.26 of its potential returns per unit of risk. Bts Managed Income is currently generating about 0.1 per unit of risk. If you would invest 788.00 in Putnam Floating Rate on September 15, 2024 and sell it today you would earn a total of 13.00 from holding Putnam Floating Rate or generate 1.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Putnam Floating Rate vs. Bts Managed Income
Performance |
Timeline |
Putnam Floating Rate |
Bts Managed Income |
Putnam Floating and Bts Managed Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Putnam Floating and Bts Managed
The main advantage of trading using opposite Putnam Floating and Bts Managed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Putnam Floating position performs unexpectedly, Bts Managed 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 Bts Managed will offset losses from the drop in Bts Managed's long position.Putnam Floating vs. Putnam Equity Income | Putnam Floating vs. Putnam Tax Exempt | Putnam Floating vs. Putnam Floating Rate | Putnam Floating vs. Putnam High Yield |
Bts Managed vs. Bts Tactical Fixed | Bts Managed vs. Bts Managed Income | Bts Managed vs. Bts Managed Income | Bts Managed vs. Bts Managed Income |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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