Correlation Between Sentinel Small and Oppenheimer Main
Can any of the company-specific risk be diversified away by investing in both Sentinel Small and Oppenheimer Main 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 Sentinel Small and Oppenheimer Main into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sentinel Small Pany and Oppenheimer Main Street, you can compare the effects of market volatilities on Sentinel Small and Oppenheimer Main 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 Sentinel Small with a short position of Oppenheimer Main. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sentinel Small and Oppenheimer Main.
Diversification Opportunities for Sentinel Small and Oppenheimer Main
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Sentinel and Oppenheimer is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding Sentinel Small Pany and Oppenheimer Main Street in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oppenheimer Main Street and Sentinel Small 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 Sentinel Small Pany are associated (or correlated) with Oppenheimer Main. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oppenheimer Main Street has no effect on the direction of Sentinel Small i.e., Sentinel Small and Oppenheimer Main go up and down completely randomly.
Pair Corralation between Sentinel Small and Oppenheimer Main
Assuming the 90 days horizon Sentinel Small Pany is expected to generate 0.84 times more return on investment than Oppenheimer Main. However, Sentinel Small Pany is 1.2 times less risky than Oppenheimer Main. It trades about -0.21 of its potential returns per unit of risk. Oppenheimer Main Street is currently generating about -0.18 per unit of risk. If you would invest 771.00 in Sentinel Small Pany on December 5, 2024 and sell it today you would lose (100.00) from holding Sentinel Small Pany or give up 12.97% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Sentinel Small Pany vs. Oppenheimer Main Street
Performance |
Timeline |
Sentinel Small Pany |
Oppenheimer Main Street |
Sentinel Small and Oppenheimer Main Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sentinel Small and Oppenheimer Main
The main advantage of trading using opposite Sentinel Small and Oppenheimer Main positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sentinel Small position performs unexpectedly, Oppenheimer Main 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 Main will offset losses from the drop in Oppenheimer Main's long position.Sentinel Small vs. Mid Cap Growth | Sentinel Small vs. Mid Cap Growth | Sentinel Small vs. Mid Cap Growth | Sentinel Small vs. Sentinel Small Pany |
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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 Center module to all portfolio management and optimization tools to improve performance of your portfolios.
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