Correlation Between Oklahoma Municipal and Mirova Global
Can any of the company-specific risk be diversified away by investing in both Oklahoma Municipal and Mirova Global 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 Oklahoma Municipal and Mirova Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Oklahoma Municipal Fund and Mirova Global Green, you can compare the effects of market volatilities on Oklahoma Municipal and Mirova Global 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 Oklahoma Municipal with a short position of Mirova Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oklahoma Municipal and Mirova Global.
Diversification Opportunities for Oklahoma Municipal and Mirova Global
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Oklahoma and Mirova is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Oklahoma Municipal Fund and Mirova Global Green in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mirova Global Green and Oklahoma Municipal 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 Oklahoma Municipal Fund are associated (or correlated) with Mirova Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mirova Global Green has no effect on the direction of Oklahoma Municipal i.e., Oklahoma Municipal and Mirova Global go up and down completely randomly.
Pair Corralation between Oklahoma Municipal and Mirova Global
Assuming the 90 days horizon Oklahoma Municipal is expected to generate 2.39 times less return on investment than Mirova Global. In addition to that, Oklahoma Municipal is 1.14 times more volatile than Mirova Global Green. It trades about 0.03 of its total potential returns per unit of risk. Mirova Global Green is currently generating about 0.09 per unit of volatility. If you would invest 872.00 in Mirova Global Green on August 30, 2024 and sell it today you would earn a total of 12.00 from holding Mirova Global Green or generate 1.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
Oklahoma Municipal Fund vs. Mirova Global Green
Performance |
Timeline |
Oklahoma Municipal |
Mirova Global Green |
Oklahoma Municipal and Mirova Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oklahoma Municipal and Mirova Global
The main advantage of trading using opposite Oklahoma Municipal and Mirova Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oklahoma Municipal position performs unexpectedly, Mirova Global 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 Mirova Global will offset losses from the drop in Mirova Global's long position.Oklahoma Municipal vs. Western Asset Municipal | Oklahoma Municipal vs. Intermediate Term Bond Fund | Oklahoma Municipal vs. Multisector Bond Sma | Oklahoma Municipal vs. Legg Mason Bw |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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