Correlation Between Natixis Oakmark and Natixis Sustainable
Can any of the company-specific risk be diversified away by investing in both Natixis Oakmark and Natixis Sustainable 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 Oakmark and Natixis Sustainable into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Natixis Oakmark and Natixis Sustainable Future, you can compare the effects of market volatilities on Natixis Oakmark and Natixis Sustainable 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 Oakmark with a short position of Natixis Sustainable. Check out your portfolio center. Please also check ongoing floating volatility patterns of Natixis Oakmark and Natixis Sustainable.
Diversification Opportunities for Natixis Oakmark and Natixis Sustainable
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Natixis and Natixis is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Natixis Oakmark and Natixis Sustainable Future in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Natixis Sustainable and Natixis Oakmark 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 Oakmark are associated (or correlated) with Natixis Sustainable. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Natixis Sustainable has no effect on the direction of Natixis Oakmark i.e., Natixis Oakmark and Natixis Sustainable go up and down completely randomly.
Pair Corralation between Natixis Oakmark and Natixis Sustainable
Assuming the 90 days horizon Natixis Oakmark is expected to under-perform the Natixis Sustainable. In addition to that, Natixis Oakmark is 1.33 times more volatile than Natixis Sustainable Future. It trades about -0.08 of its total potential returns per unit of risk. Natixis Sustainable Future is currently generating about -0.1 per unit of volatility. If you would invest 1,136 in Natixis Sustainable Future on December 1, 2024 and sell it today you would lose (52.00) from holding Natixis Sustainable Future or give up 4.58% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Natixis Oakmark vs. Natixis Sustainable Future
Performance |
Timeline |
Natixis Oakmark |
Natixis Sustainable |
Natixis Oakmark and Natixis Sustainable Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Natixis Oakmark and Natixis Sustainable
The main advantage of trading using opposite Natixis Oakmark and Natixis Sustainable positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Natixis Oakmark position performs unexpectedly, Natixis Sustainable 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 Natixis Sustainable will offset losses from the drop in Natixis Sustainable's long position.Natixis Oakmark vs. Fwnhtx | Natixis Oakmark vs. Fzdaqx | Natixis Oakmark vs. Iaadx | Natixis Oakmark vs. Furyax |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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