Correlation Between Icon Natural and Mai Managed
Can any of the company-specific risk be diversified away by investing in both Icon Natural and Mai Managed 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 Icon Natural and Mai Managed into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Icon Natural Resources and Mai Managed Volatility, you can compare the effects of market volatilities on Icon Natural and Mai Managed 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 Icon Natural with a short position of Mai Managed. Check out your portfolio center. Please also check ongoing floating volatility patterns of Icon Natural and Mai Managed.
Diversification Opportunities for Icon Natural and Mai Managed
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Icon and Mai is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Icon Natural Resources and Mai Managed Volatility in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mai Managed Volatility and Icon Natural 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 Icon Natural Resources are associated (or correlated) with Mai Managed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mai Managed Volatility has no effect on the direction of Icon Natural i.e., Icon Natural and Mai Managed go up and down completely randomly.
Pair Corralation between Icon Natural and Mai Managed
Assuming the 90 days horizon Icon Natural Resources is expected to under-perform the Mai Managed. In addition to that, Icon Natural is 2.68 times more volatile than Mai Managed Volatility. It trades about -0.28 of its total potential returns per unit of risk. Mai Managed Volatility is currently generating about -0.02 per unit of volatility. If you would invest 1,608 in Mai Managed Volatility on October 9, 2024 and sell it today you would lose (2.00) from holding Mai Managed Volatility or give up 0.12% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.0% |
Values | Daily Returns |
Icon Natural Resources vs. Mai Managed Volatility
Performance |
Timeline |
Icon Natural Resources |
Mai Managed Volatility |
Icon Natural and Mai Managed Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Icon Natural and Mai Managed
The main advantage of trading using opposite Icon Natural and Mai Managed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Icon Natural position performs unexpectedly, Mai Managed 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 Mai Managed will offset losses from the drop in Mai Managed's long position.Icon Natural vs. Icon Financial Fund | Icon Natural vs. Dreyfus Natural Resources | Icon Natural vs. Icon Natural Resources | Icon Natural vs. Icon Information Technology |
Mai Managed vs. Vy Clarion Real | Mai Managed vs. Rreef Property Trust | Mai Managed vs. Jhancock Real Estate | Mai Managed vs. Redwood Real Estate |
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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