Correlation Between MFS High and Putnam Managed
Can any of the company-specific risk be diversified away by investing in both MFS High and Putnam 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 MFS High and Putnam Managed into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MFS High Income and Putnam Managed Municipal, you can compare the effects of market volatilities on MFS High and Putnam 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 MFS High with a short position of Putnam Managed. Check out your portfolio center. Please also check ongoing floating volatility patterns of MFS High and Putnam Managed.
Diversification Opportunities for MFS High and Putnam Managed
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between MFS and Putnam is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding MFS High Income and Putnam Managed Municipal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Putnam Managed Municipal and MFS 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 MFS High Income are associated (or correlated) with Putnam Managed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Putnam Managed Municipal has no effect on the direction of MFS High i.e., MFS High and Putnam Managed go up and down completely randomly.
Pair Corralation between MFS High and Putnam Managed
Considering the 90-day investment horizon MFS High Income is expected to under-perform the Putnam Managed. But the stock apears to be less risky and, when comparing its historical volatility, MFS High Income is 1.11 times less risky than Putnam Managed. The stock trades about -0.03 of its potential returns per unit of risk. The Putnam Managed Municipal is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest 589.00 in Putnam Managed Municipal on May 1, 2025 and sell it today you would lose (5.00) from holding Putnam Managed Municipal or give up 0.85% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
MFS High Income vs. Putnam Managed Municipal
Performance |
Timeline |
MFS High Income |
Putnam Managed Municipal |
MFS High and Putnam Managed Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MFS High and Putnam Managed
The main advantage of trading using opposite MFS High and Putnam Managed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MFS High position performs unexpectedly, Putnam 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 Putnam Managed will offset losses from the drop in Putnam Managed's long position.MFS High vs. MFS High Yield | MFS High vs. MFS Investment Grade | MFS High vs. MFS Municipal Income | MFS High vs. DTF Tax Free |
Putnam Managed vs. MFS Municipal Income | Putnam Managed vs. Blackrock Muniyield Quality | Putnam Managed vs. Invesco Municipal Income | Putnam Managed vs. MFS High 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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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