Correlation Between Mirova Global and Templeton Foreign
Can any of the company-specific risk be diversified away by investing in both Mirova Global and Templeton Foreign 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 Templeton Foreign 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 Templeton Foreign Fund, you can compare the effects of market volatilities on Mirova Global and Templeton Foreign 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 Templeton Foreign. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mirova Global and Templeton Foreign.
Diversification Opportunities for Mirova Global and Templeton Foreign
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between Mirova and Templeton is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding Mirova Global Green and Templeton Foreign Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Templeton Foreign 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 Templeton Foreign. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Templeton Foreign has no effect on the direction of Mirova Global i.e., Mirova Global and Templeton Foreign go up and down completely randomly.
Pair Corralation between Mirova Global and Templeton Foreign
Assuming the 90 days horizon Mirova Global Green is expected to generate 0.24 times more return on investment than Templeton Foreign. However, Mirova Global Green is 4.18 times less risky than Templeton Foreign. It trades about 0.05 of its potential returns per unit of risk. Templeton Foreign Fund is currently generating about -0.11 per unit of risk. If you would invest 880.00 in Mirova Global Green on September 20, 2024 and sell it today you would earn a total of 6.00 from holding Mirova Global Green or generate 0.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Mirova Global Green vs. Templeton Foreign Fund
Performance |
Timeline |
Mirova Global Green |
Templeton Foreign |
Mirova Global and Templeton Foreign Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mirova Global and Templeton Foreign
The main advantage of trading using opposite Mirova Global and Templeton Foreign positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mirova Global position performs unexpectedly, Templeton Foreign 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 Templeton Foreign will offset losses from the drop in Templeton Foreign's long position.Mirova Global vs. Calamos Dynamic Convertible | Mirova Global vs. Allianzgi Convertible Income | Mirova Global vs. Advent Claymore Convertible | Mirova Global vs. Rationalpier 88 Convertible |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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