Correlation Between Putnam Equity and Inverse Government
Can any of the company-specific risk be diversified away by investing in both Putnam Equity and Inverse Government 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 Equity and Inverse Government into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Putnam Equity Income and Inverse Government Long, you can compare the effects of market volatilities on Putnam Equity and Inverse Government 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 Equity with a short position of Inverse Government. Check out your portfolio center. Please also check ongoing floating volatility patterns of Putnam Equity and Inverse Government.
Diversification Opportunities for Putnam Equity and Inverse Government
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Putnam and Inverse is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Putnam Equity Income and Inverse Government Long in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Inverse Government Long and Putnam Equity 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 Equity Income are associated (or correlated) with Inverse Government. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Inverse Government Long has no effect on the direction of Putnam Equity i.e., Putnam Equity and Inverse Government go up and down completely randomly.
Pair Corralation between Putnam Equity and Inverse Government
Assuming the 90 days horizon Putnam Equity Income is expected to under-perform the Inverse Government. In addition to that, Putnam Equity is 1.1 times more volatile than Inverse Government Long. It trades about -0.01 of its total potential returns per unit of risk. Inverse Government Long is currently generating about 0.14 per unit of volatility. If you would invest 17,528 in Inverse Government Long on September 12, 2024 and sell it today you would earn a total of 1,336 from holding Inverse Government Long or generate 7.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
Putnam Equity Income vs. Inverse Government Long
Performance |
Timeline |
Putnam Equity Income |
Inverse Government Long |
Putnam Equity and Inverse Government Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Putnam Equity and Inverse Government
The main advantage of trading using opposite Putnam Equity and Inverse Government positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Putnam Equity position performs unexpectedly, Inverse Government 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 Inverse Government will offset losses from the drop in Inverse Government's long position.Putnam Equity vs. Siit Small Mid | Putnam Equity vs. Ab Small Cap | Putnam Equity vs. Df Dent Small | Putnam Equity vs. Vy Columbia Small |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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