Correlation Between GM and Natixis Oakmark
Can any of the company-specific risk be diversified away by investing in both GM and Natixis Oakmark 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 GM and Natixis Oakmark into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Natixis Oakmark Intl, you can compare the effects of market volatilities on GM and Natixis Oakmark 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 GM with a short position of Natixis Oakmark. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Natixis Oakmark.
Diversification Opportunities for GM and Natixis Oakmark
-0.78 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between GM and Natixis is -0.78. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Natixis Oakmark Intl in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Natixis Oakmark Intl and GM 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 General Motors are associated (or correlated) with Natixis Oakmark. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Natixis Oakmark Intl has no effect on the direction of GM i.e., GM and Natixis Oakmark go up and down completely randomly.
Pair Corralation between GM and Natixis Oakmark
Allowing for the 90-day total investment horizon General Motors is expected to generate 2.24 times more return on investment than Natixis Oakmark. However, GM is 2.24 times more volatile than Natixis Oakmark Intl. It trades about 0.08 of its potential returns per unit of risk. Natixis Oakmark Intl is currently generating about -0.03 per unit of risk. If you would invest 4,551 in General Motors on September 1, 2024 and sell it today you would earn a total of 1,008 from holding General Motors or generate 22.15% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 99.21% |
| Values | Daily Returns |
General Motors vs. Natixis Oakmark Intl
Performance |
| Timeline |
| General Motors |
| Natixis Oakmark Intl |
GM and Natixis Oakmark Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and Natixis Oakmark
The main advantage of trading using opposite GM and Natixis Oakmark positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Natixis Oakmark 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 Oakmark will offset losses from the drop in Natixis Oakmark's long position.The idea behind General Motors and Natixis Oakmark Intl pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Natixis Oakmark vs. Prudential Health Sciences | Natixis Oakmark vs. The Gabelli Healthcare | Natixis Oakmark vs. Delaware Healthcare Fund | Natixis Oakmark vs. Invesco Global Health |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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