Correlation Between Mirova Global and Energy Basic
Can any of the company-specific risk be diversified away by investing in both Mirova Global and Energy Basic 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 Energy Basic 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 Energy Basic Materials, you can compare the effects of market volatilities on Mirova Global and Energy Basic 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 Energy Basic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mirova Global and Energy Basic.
Diversification Opportunities for Mirova Global and Energy Basic
-0.11 | Correlation Coefficient |
Good diversification
The 3 months correlation between Mirova and Energy is -0.11. Overlapping area represents the amount of risk that can be diversified away by holding Mirova Global Green and Energy Basic Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Energy Basic Materials 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 Energy Basic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Energy Basic Materials has no effect on the direction of Mirova Global i.e., Mirova Global and Energy Basic go up and down completely randomly.
Pair Corralation between Mirova Global and Energy Basic
Assuming the 90 days horizon Mirova Global Green is expected to under-perform the Energy Basic. But the mutual fund apears to be less risky and, when comparing its historical volatility, Mirova Global Green is 3.07 times less risky than Energy Basic. The mutual fund trades about -0.01 of its potential returns per unit of risk. The Energy Basic Materials is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 931.00 in Energy Basic Materials on December 26, 2024 and sell it today you would earn a total of 63.00 from holding Energy Basic Materials or generate 6.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.36% |
Values | Daily Returns |
Mirova Global Green vs. Energy Basic Materials
Performance |
Timeline |
Mirova Global Green |
Energy Basic Materials |
Mirova Global and Energy Basic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mirova Global and Energy Basic
The main advantage of trading using opposite Mirova Global and Energy Basic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mirova Global position performs unexpectedly, Energy Basic 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 Energy Basic will offset losses from the drop in Energy Basic's long position.Mirova Global vs. Franklin Adjustable Government | Mirova Global vs. Goldman Sachs Short | Mirova Global vs. Baird Quality Intermediate | Mirova Global vs. Morgan Stanley Government |
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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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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