Correlation Between Maryland Tax-free and George Putnam
Can any of the company-specific risk be diversified away by investing in both Maryland Tax-free and George Putnam 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 Maryland Tax-free and George Putnam into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Maryland Tax Free Bond and George Putnam Balanced, you can compare the effects of market volatilities on Maryland Tax-free and George Putnam 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 Maryland Tax-free with a short position of George Putnam. Check out your portfolio center. Please also check ongoing floating volatility patterns of Maryland Tax-free and George Putnam.
Diversification Opportunities for Maryland Tax-free and George Putnam
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Maryland and George is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Maryland Tax Free Bond and George Putnam Balanced in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on George Putnam Balanced and Maryland Tax-free 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 Maryland Tax Free Bond are associated (or correlated) with George Putnam. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of George Putnam Balanced has no effect on the direction of Maryland Tax-free i.e., Maryland Tax-free and George Putnam go up and down completely randomly.
Pair Corralation between Maryland Tax-free and George Putnam
Assuming the 90 days horizon Maryland Tax Free Bond is expected to generate 0.42 times more return on investment than George Putnam. However, Maryland Tax Free Bond is 2.37 times less risky than George Putnam. It trades about -0.32 of its potential returns per unit of risk. George Putnam Balanced is currently generating about -0.2 per unit of risk. If you would invest 1,028 in Maryland Tax Free Bond on October 7, 2024 and sell it today you would lose (18.00) from holding Maryland Tax Free Bond or give up 1.75% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Maryland Tax Free Bond vs. George Putnam Balanced
Performance |
Timeline |
Maryland Tax Free |
George Putnam Balanced |
Maryland Tax-free and George Putnam Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Maryland Tax-free and George Putnam
The main advantage of trading using opposite Maryland Tax-free and George Putnam positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Maryland Tax-free position performs unexpectedly, George Putnam 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 George Putnam will offset losses from the drop in George Putnam's long position.Maryland Tax-free vs. T Rowe Price | Maryland Tax-free vs. Investec Emerging Markets | Maryland Tax-free vs. Alphacentric Hedged Market | Maryland Tax-free vs. Origin Emerging Markets |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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