Correlation Between Us Government and New Perspective
Can any of the company-specific risk be diversified away by investing in both Us Government and New Perspective 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 Us Government and New Perspective into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Us Government Securities and New Perspective Fund, you can compare the effects of market volatilities on Us Government and New Perspective 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 Us Government with a short position of New Perspective. Check out your portfolio center. Please also check ongoing floating volatility patterns of Us Government and New Perspective.
Diversification Opportunities for Us Government and New Perspective
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between CGTCX and New is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Us Government Securities and New Perspective Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on New Perspective and Us Government 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 Us Government Securities are associated (or correlated) with New Perspective. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of New Perspective has no effect on the direction of Us Government i.e., Us Government and New Perspective go up and down completely randomly.
Pair Corralation between Us Government and New Perspective
Assuming the 90 days horizon Us Government is expected to generate 3.3 times less return on investment than New Perspective. But when comparing it to its historical volatility, Us Government Securities is 2.06 times less risky than New Perspective. It trades about 0.11 of its potential returns per unit of risk. New Perspective Fund is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 6,442 in New Perspective Fund on May 29, 2025 and sell it today you would earn a total of 464.00 from holding New Perspective Fund or generate 7.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Us Government Securities vs. New Perspective Fund
Performance |
Timeline |
Us Government Securities |
New Perspective |
Us Government and New Perspective Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Us Government and New Perspective
The main advantage of trading using opposite Us Government and New Perspective positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Us Government position performs unexpectedly, New Perspective 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 New Perspective will offset losses from the drop in New Perspective's long position.Us Government vs. Dodge International Stock | Us Government vs. Dws Equity Sector | Us Government vs. Locorr Dynamic Equity | Us Government vs. Franklin Equity Income |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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