Correlation Between Credit Suisse and Natixis Oakmark
Can any of the company-specific risk be diversified away by investing in both Credit Suisse 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 Credit Suisse and Natixis Oakmark into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Credit Suisse Multialternative and Natixis Oakmark International, you can compare the effects of market volatilities on Credit Suisse 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 Credit Suisse with a short position of Natixis Oakmark. Check out your portfolio center. Please also check ongoing floating volatility patterns of Credit Suisse and Natixis Oakmark.
Diversification Opportunities for Credit Suisse and Natixis Oakmark
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Credit and Natixis is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Credit Suisse Multialternative and Natixis Oakmark International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Natixis Oakmark Inte and Credit Suisse 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 Credit Suisse Multialternative 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 Inte has no effect on the direction of Credit Suisse i.e., Credit Suisse and Natixis Oakmark go up and down completely randomly.
Pair Corralation between Credit Suisse and Natixis Oakmark
Assuming the 90 days horizon Credit Suisse Multialternative is expected to under-perform the Natixis Oakmark. In addition to that, Credit Suisse is 1.58 times more volatile than Natixis Oakmark International. It trades about -0.11 of its total potential returns per unit of risk. Natixis Oakmark International is currently generating about -0.15 per unit of volatility. If you would invest 1,481 in Natixis Oakmark International on October 10, 2024 and sell it today you would lose (136.00) from holding Natixis Oakmark International or give up 9.18% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Credit Suisse Multialternative vs. Natixis Oakmark International
Performance |
Timeline |
Credit Suisse Multia |
Natixis Oakmark Inte |
Credit Suisse and Natixis Oakmark Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Credit Suisse and Natixis Oakmark
The main advantage of trading using opposite Credit Suisse and Natixis Oakmark positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Credit Suisse 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.Credit Suisse vs. Guggenheim Diversified Income | Credit Suisse vs. Madison Diversified Income | Credit Suisse vs. Lord Abbett Diversified | Credit Suisse vs. Pgim Conservative Retirement |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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