Correlation Between Legg Mason and Putnam Floating
Can any of the company-specific risk be diversified away by investing in both Legg Mason 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 Legg Mason and Putnam Floating into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Legg Mason Partners and Putnam Floating Rate, you can compare the effects of market volatilities on Legg Mason 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 Legg Mason with a short position of Putnam Floating. Check out your portfolio center. Please also check ongoing floating volatility patterns of Legg Mason and Putnam Floating.
Diversification Opportunities for Legg Mason and Putnam Floating
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Legg and Putnam is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Legg Mason Partners 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 Legg Mason 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 Legg Mason Partners 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 Legg Mason i.e., Legg Mason and Putnam Floating go up and down completely randomly.
Pair Corralation between Legg Mason and Putnam Floating
Assuming the 90 days trading horizon Legg Mason Partners is expected to generate 4.23 times more return on investment than Putnam Floating. However, Legg Mason is 4.23 times more volatile than Putnam Floating Rate. It trades about 0.31 of its potential returns per unit of risk. Putnam Floating Rate is currently generating about 0.39 per unit of risk. If you would invest 665.00 in Legg Mason Partners on September 1, 2024 and sell it today you would earn a total of 8.00 from holding Legg Mason Partners or generate 1.2% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 95.45% |
| Values | Daily Returns |
Legg Mason Partners vs. Putnam Floating Rate
Performance |
| Timeline |
| Legg Mason Partners |
| Putnam Floating Rate |
Legg Mason and Putnam Floating Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Legg Mason and Putnam Floating
The main advantage of trading using opposite Legg Mason and Putnam Floating positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Legg Mason 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.| Legg Mason vs. Vanguard Total Stock | Legg Mason vs. Vanguard 500 Index | Legg Mason vs. Vanguard Total Stock | Legg Mason vs. Vanguard Total Stock |
| Putnam Floating vs. Inflation Protected Bond Fund | Putnam Floating vs. Legg Mason Partners | Putnam Floating vs. Transamerica Intermediate Muni | Putnam Floating vs. Multisector Bond Sma |
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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