Correlation Between Ekso Bionics and Quest Diagnostics
Can any of the company-specific risk be diversified away by investing in both Ekso Bionics and Quest Diagnostics 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 Ekso Bionics and Quest Diagnostics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ekso Bionics Holdings and Quest Diagnostics Incorporated, you can compare the effects of market volatilities on Ekso Bionics and Quest Diagnostics 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 Ekso Bionics with a short position of Quest Diagnostics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ekso Bionics and Quest Diagnostics.
Diversification Opportunities for Ekso Bionics and Quest Diagnostics
-0.65 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Ekso and Quest is -0.65. Overlapping area represents the amount of risk that can be diversified away by holding Ekso Bionics Holdings and Quest Diagnostics Incorporated in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Quest Diagnostics and Ekso Bionics 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 Ekso Bionics Holdings are associated (or correlated) with Quest Diagnostics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Quest Diagnostics has no effect on the direction of Ekso Bionics i.e., Ekso Bionics and Quest Diagnostics go up and down completely randomly.
Pair Corralation between Ekso Bionics and Quest Diagnostics
Given the investment horizon of 90 days Ekso Bionics Holdings is expected to under-perform the Quest Diagnostics. In addition to that, Ekso Bionics is 3.09 times more volatile than Quest Diagnostics Incorporated. It trades about -0.51 of its total potential returns per unit of risk. Quest Diagnostics Incorporated is currently generating about 0.21 per unit of volatility. If you would invest 15,596 in Quest Diagnostics Incorporated on August 30, 2024 and sell it today you would earn a total of 736.00 from holding Quest Diagnostics Incorporated or generate 4.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ekso Bionics Holdings vs. Quest Diagnostics Incorporated
Performance |
Timeline |
Ekso Bionics Holdings |
Quest Diagnostics |
Ekso Bionics and Quest Diagnostics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ekso Bionics and Quest Diagnostics
The main advantage of trading using opposite Ekso Bionics and Quest Diagnostics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ekso Bionics position performs unexpectedly, Quest Diagnostics 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 Quest Diagnostics will offset losses from the drop in Quest Diagnostics' long position.Ekso Bionics vs. Pro Dex | Ekso Bionics vs. Coloplast A | Ekso Bionics vs. Straumann Holding AG | Ekso Bionics vs. Nephros |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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