Correlation Between Goldman Sachs and CVS Health
Can any of the company-specific risk be diversified away by investing in both Goldman Sachs and CVS Health 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 Goldman Sachs and CVS Health into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Goldman Sachs Target and CVS Health Corp, you can compare the effects of market volatilities on Goldman Sachs and CVS Health 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 Goldman Sachs with a short position of CVS Health. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and CVS Health.
Diversification Opportunities for Goldman Sachs and CVS Health
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Goldman and CVS is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs Target and CVS Health Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CVS Health Corp and Goldman Sachs 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 Goldman Sachs Target are associated (or correlated) with CVS Health. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CVS Health Corp has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and CVS Health go up and down completely randomly.
Pair Corralation between Goldman Sachs and CVS Health
Assuming the 90 days horizon Goldman Sachs Target is expected to generate 0.54 times more return on investment than CVS Health. However, Goldman Sachs Target is 1.87 times less risky than CVS Health. It trades about -0.01 of its potential returns per unit of risk. CVS Health Corp is currently generating about -0.03 per unit of risk. If you would invest 888.00 in Goldman Sachs Target on January 19, 2024 and sell it today you would lose (15.00) from holding Goldman Sachs Target or give up 1.69% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 48.39% |
| Values | Daily Returns |
Goldman Sachs Target vs. CVS Health Corp
Performance |
| Timeline |
| Goldman Sachs Target |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
| CVS Health Corp |
Goldman Sachs and CVS Health Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Goldman Sachs and CVS Health
The main advantage of trading using opposite Goldman Sachs and CVS Health positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs position performs unexpectedly, CVS Health 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 CVS Health will offset losses from the drop in CVS Health's long position.| Goldman Sachs vs. Qs Moderate Growth | Goldman Sachs vs. Madison Moderate Allocation | Goldman Sachs vs. Fidelity Managed Retirement | Goldman Sachs vs. American Funds Retirement |
| CVS Health vs. Humana Inc | CVS Health vs. Cigna Corp | CVS Health vs. Elevance Health | CVS Health vs. Centene Corp |
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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