Correlation Between Loomis Sayles and Oppenheimer Senior
Can any of the company-specific risk be diversified away by investing in both Loomis Sayles and Oppenheimer Senior 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 Loomis Sayles and Oppenheimer Senior into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Loomis Sayles Senior and Oppenheimer Senior Floating, you can compare the effects of market volatilities on Loomis Sayles and Oppenheimer Senior 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 Loomis Sayles with a short position of Oppenheimer Senior. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loomis Sayles and Oppenheimer Senior.
Diversification Opportunities for Loomis Sayles and Oppenheimer Senior
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Loomis and Oppenheimer is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Loomis Sayles Senior and Oppenheimer Senior Floating in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oppenheimer Senior and Loomis Sayles 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 Loomis Sayles Senior are associated (or correlated) with Oppenheimer Senior. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oppenheimer Senior has no effect on the direction of Loomis Sayles i.e., Loomis Sayles and Oppenheimer Senior go up and down completely randomly.
Pair Corralation between Loomis Sayles and Oppenheimer Senior
Assuming the 90 days horizon Loomis Sayles Senior is expected to generate 0.86 times more return on investment than Oppenheimer Senior. However, Loomis Sayles Senior is 1.17 times less risky than Oppenheimer Senior. It trades about 0.22 of its potential returns per unit of risk. Oppenheimer Senior Floating is currently generating about 0.18 per unit of risk. If you would invest 715.00 in Loomis Sayles Senior on September 4, 2024 and sell it today you would earn a total of 112.00 from holding Loomis Sayles Senior or generate 15.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Loomis Sayles Senior vs. Oppenheimer Senior Floating
Performance |
Timeline |
Loomis Sayles Senior |
Oppenheimer Senior |
Loomis Sayles and Oppenheimer Senior Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Loomis Sayles and Oppenheimer Senior
The main advantage of trading using opposite Loomis Sayles and Oppenheimer Senior positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loomis Sayles position performs unexpectedly, Oppenheimer Senior 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 Oppenheimer Senior will offset losses from the drop in Oppenheimer Senior's long position.Loomis Sayles vs. Asg Managed Futures | Loomis Sayles vs. Asg Managed Futures | Loomis Sayles vs. Natixis Oakmark | Loomis Sayles vs. Natixis Oakmark International |
Oppenheimer Senior vs. Oppenheimer Main Street | Oppenheimer Senior vs. Oppenheimer Intl Small | Oppenheimer Senior vs. Oppenheimer Main Street | Oppenheimer Senior vs. Oppenheimer Global Strtgc |
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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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