Correlation Between Putnam Minnesota and Putnam Pennsylvania
Can any of the company-specific risk be diversified away by investing in both Putnam Minnesota and Putnam Pennsylvania 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 Minnesota and Putnam Pennsylvania into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Putnam Minnesota Tax and Putnam Pennsylvania Tax, you can compare the effects of market volatilities on Putnam Minnesota and Putnam Pennsylvania 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 Minnesota with a short position of Putnam Pennsylvania. Check out your portfolio center. Please also check ongoing floating volatility patterns of Putnam Minnesota and Putnam Pennsylvania.
Diversification Opportunities for Putnam Minnesota and Putnam Pennsylvania
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between Putnam and Putnam is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding Putnam Minnesota Tax and Putnam Pennsylvania Tax in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Putnam Pennsylvania Tax and Putnam Minnesota 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 Minnesota Tax are associated (or correlated) with Putnam Pennsylvania. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Putnam Pennsylvania Tax has no effect on the direction of Putnam Minnesota i.e., Putnam Minnesota and Putnam Pennsylvania go up and down completely randomly.
Pair Corralation between Putnam Minnesota and Putnam Pennsylvania
Assuming the 90 days horizon Putnam Minnesota Tax is expected to generate 1.04 times more return on investment than Putnam Pennsylvania. However, Putnam Minnesota is 1.04 times more volatile than Putnam Pennsylvania Tax. It trades about -0.07 of its potential returns per unit of risk. Putnam Pennsylvania Tax is currently generating about -0.07 per unit of risk. If you would invest 886.00 in Putnam Minnesota Tax on October 7, 2024 and sell it today you would lose (11.00) from holding Putnam Minnesota Tax or give up 1.24% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Putnam Minnesota Tax vs. Putnam Pennsylvania Tax
Performance |
Timeline |
Putnam Minnesota Tax |
Putnam Pennsylvania Tax |
Putnam Minnesota and Putnam Pennsylvania Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Putnam Minnesota and Putnam Pennsylvania
The main advantage of trading using opposite Putnam Minnesota and Putnam Pennsylvania positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Putnam Minnesota position performs unexpectedly, Putnam Pennsylvania 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 Pennsylvania will offset losses from the drop in Putnam Pennsylvania's long position.Putnam Minnesota vs. Putnam Equity Income | Putnam Minnesota vs. Putnam Tax Exempt | Putnam Minnesota vs. Putnam Floating Rate | Putnam Minnesota vs. Putnam High Yield |
Putnam Pennsylvania vs. Putnam Equity Income | Putnam Pennsylvania vs. Putnam Tax Exempt | Putnam Pennsylvania vs. Putnam Floating Rate | Putnam Pennsylvania vs. Putnam High Yield |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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