Correlation Between Mirova Global and New Perspective
Can any of the company-specific risk be diversified away by investing in both Mirova Global 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 Mirova Global and New Perspective into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mirova Global Green and New Perspective Fund, you can compare the effects of market volatilities on Mirova Global 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 Mirova Global with a short position of New Perspective. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mirova Global and New Perspective.
Diversification Opportunities for Mirova Global and New Perspective
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Mirova and New is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Mirova Global Green and New Perspective Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on New Perspective and Mirova Global 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 Mirova Global Green 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 Mirova Global i.e., Mirova Global and New Perspective go up and down completely randomly.
Pair Corralation between Mirova Global and New Perspective
Assuming the 90 days horizon Mirova Global Green is expected to under-perform the New Perspective. But the mutual fund apears to be less risky and, when comparing its historical volatility, Mirova Global Green is 3.34 times less risky than New Perspective. The mutual fund trades about -0.01 of its potential returns per unit of risk. The New Perspective Fund is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 6,138 in New Perspective Fund on December 28, 2024 and sell it today you would lose (13.00) from holding New Perspective Fund or give up 0.21% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Mirova Global Green vs. New Perspective Fund
Performance |
Timeline |
Mirova Global Green |
New Perspective |
Mirova Global and New Perspective Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mirova Global and New Perspective
The main advantage of trading using opposite Mirova Global and New Perspective positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mirova Global 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.Mirova Global vs. Financial Industries Fund | Mirova Global vs. Voya Government Money | Mirova Global vs. Franklin Government Money | Mirova Global vs. Edward Jones Money |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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