Correlation Between Senvest Capital and UnitedHealth Group
Can any of the company-specific risk be diversified away by investing in both Senvest Capital and UnitedHealth Group 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 Senvest Capital and UnitedHealth Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Senvest Capital and UnitedHealth Group CDR, you can compare the effects of market volatilities on Senvest Capital and UnitedHealth Group 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 Senvest Capital with a short position of UnitedHealth Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Senvest Capital and UnitedHealth Group.
Diversification Opportunities for Senvest Capital and UnitedHealth Group
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Senvest and UnitedHealth is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding Senvest Capital and UnitedHealth Group CDR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UnitedHealth Group CDR and Senvest Capital 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 Senvest Capital are associated (or correlated) with UnitedHealth Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UnitedHealth Group CDR has no effect on the direction of Senvest Capital i.e., Senvest Capital and UnitedHealth Group go up and down completely randomly.
Pair Corralation between Senvest Capital and UnitedHealth Group
Assuming the 90 days trading horizon Senvest Capital is expected to generate 0.24 times more return on investment than UnitedHealth Group. However, Senvest Capital is 4.23 times less risky than UnitedHealth Group. It trades about 0.23 of its potential returns per unit of risk. UnitedHealth Group CDR is currently generating about -0.1 per unit of risk. If you would invest 32,500 in Senvest Capital on September 28, 2024 and sell it today you would earn a total of 2,500 from holding Senvest Capital or generate 7.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Senvest Capital vs. UnitedHealth Group CDR
Performance |
Timeline |
Senvest Capital |
UnitedHealth Group CDR |
Senvest Capital and UnitedHealth Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Senvest Capital and UnitedHealth Group
The main advantage of trading using opposite Senvest Capital and UnitedHealth Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Senvest Capital position performs unexpectedly, UnitedHealth Group 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 UnitedHealth Group will offset losses from the drop in UnitedHealth Group's long position.Senvest Capital vs. Advent Wireless | Senvest Capital vs. Cogeco Communications | Senvest Capital vs. Computer Modelling Group | Senvest Capital vs. Data Communications Management |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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