Correlation Between Natixis Sustainable and Asg Managed
Can any of the company-specific risk be diversified away by investing in both Natixis Sustainable and Asg 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 Natixis Sustainable and Asg Managed into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Natixis Sustainable Future and Asg Managed Futures, you can compare the effects of market volatilities on Natixis Sustainable and Asg 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 Natixis Sustainable with a short position of Asg Managed. Check out your portfolio center. Please also check ongoing floating volatility patterns of Natixis Sustainable and Asg Managed.
Diversification Opportunities for Natixis Sustainable and Asg Managed
-0.03 | Correlation Coefficient |
Good diversification
The 3 months correlation between Natixis and Asg is -0.03. Overlapping area represents the amount of risk that can be diversified away by holding Natixis Sustainable Future and Asg Managed Futures in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Asg Managed Futures and Natixis Sustainable 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 Natixis Sustainable Future are associated (or correlated) with Asg Managed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Asg Managed Futures has no effect on the direction of Natixis Sustainable i.e., Natixis Sustainable and Asg Managed go up and down completely randomly.
Pair Corralation between Natixis Sustainable and Asg Managed
Assuming the 90 days horizon Natixis Sustainable Future is expected to generate 0.65 times more return on investment than Asg Managed. However, Natixis Sustainable Future is 1.53 times less risky than Asg Managed. It trades about 0.12 of its potential returns per unit of risk. Asg Managed Futures is currently generating about -0.04 per unit of risk. If you would invest 1,131 in Natixis Sustainable Future on September 13, 2024 and sell it today you would earn a total of 30.00 from holding Natixis Sustainable Future or generate 2.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Natixis Sustainable Future vs. Asg Managed Futures
Performance |
Timeline |
Natixis Sustainable |
Asg Managed Futures |
Natixis Sustainable and Asg Managed Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Natixis Sustainable and Asg Managed
The main advantage of trading using opposite Natixis Sustainable and Asg Managed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Natixis Sustainable position performs unexpectedly, Asg 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 Asg Managed will offset losses from the drop in Asg Managed's long position.Natixis Sustainable vs. Asg Managed Futures | Natixis Sustainable vs. Asg Managed Futures | Natixis Sustainable vs. Natixis Oakmark | Natixis Sustainable vs. Natixis Oakmark International |
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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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