Correlation Between Chestnut Street and Natixis Oakmark
Can any of the company-specific risk be diversified away by investing in both Chestnut Street 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 Chestnut Street and Natixis Oakmark into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chestnut Street Exchange and Natixis Oakmark International, you can compare the effects of market volatilities on Chestnut Street 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 Chestnut Street with a short position of Natixis Oakmark. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chestnut Street and Natixis Oakmark.
Diversification Opportunities for Chestnut Street and Natixis Oakmark
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Chestnut and Natixis is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding Chestnut Street Exchange 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 Chestnut Street 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 Chestnut Street Exchange 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 Chestnut Street i.e., Chestnut Street and Natixis Oakmark go up and down completely randomly.
Pair Corralation between Chestnut Street and Natixis Oakmark
Assuming the 90 days horizon Chestnut Street Exchange is expected to generate 0.57 times more return on investment than Natixis Oakmark. However, Chestnut Street Exchange is 1.74 times less risky than Natixis Oakmark. It trades about 0.12 of its potential returns per unit of risk. Natixis Oakmark International is currently generating about -0.02 per unit of risk. If you would invest 111,375 in Chestnut Street Exchange on September 17, 2024 and sell it today you would earn a total of 5,161 from holding Chestnut Street Exchange or generate 4.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Chestnut Street Exchange vs. Natixis Oakmark International
Performance |
Timeline |
Chestnut Street Exchange |
Natixis Oakmark Inte |
Chestnut Street and Natixis Oakmark Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chestnut Street and Natixis Oakmark
The main advantage of trading using opposite Chestnut Street and Natixis Oakmark positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chestnut Street 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.Chestnut Street vs. Alliancebernstein Global High | Chestnut Street vs. Scharf Global Opportunity | Chestnut Street vs. Qs Global Equity | Chestnut Street vs. Legg Mason Global |
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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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