Correlation Between Auction Technology and CVS Health
Can any of the company-specific risk be diversified away by investing in both Auction Technology 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 Auction Technology and CVS Health into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Auction Technology Group and CVS Health Corp, you can compare the effects of market volatilities on Auction Technology 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 Auction Technology with a short position of CVS Health. Check out your portfolio center. Please also check ongoing floating volatility patterns of Auction Technology and CVS Health.
Diversification Opportunities for Auction Technology and CVS Health
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Auction and CVS is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Auction Technology Group 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 Auction Technology 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 Auction Technology Group 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 Auction Technology i.e., Auction Technology and CVS Health go up and down completely randomly.
Pair Corralation between Auction Technology and CVS Health
Assuming the 90 days trading horizon Auction Technology Group is expected to generate 1.8 times more return on investment than CVS Health. However, Auction Technology is 1.8 times more volatile than CVS Health Corp. It trades about 0.28 of its potential returns per unit of risk. CVS Health Corp is currently generating about -0.64 per unit of risk. If you would invest 44,500 in Auction Technology Group on September 24, 2024 and sell it today you would earn a total of 10,800 from holding Auction Technology Group or generate 24.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Auction Technology Group vs. CVS Health Corp
Performance |
Timeline |
Auction Technology |
CVS Health Corp |
Auction Technology and CVS Health Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Auction Technology and CVS Health
The main advantage of trading using opposite Auction Technology and CVS Health positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Auction Technology 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.Auction Technology vs. Iron Mountain | Auction Technology vs. United States Steel | Auction Technology vs. Lowland Investment Co | Auction Technology vs. Central Asia Metals |
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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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