Correlation Between Cognizant Technology and MaxLinear
Can any of the company-specific risk be diversified away by investing in both Cognizant Technology and MaxLinear 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 Cognizant Technology and MaxLinear into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cognizant Technology Solutions and MaxLinear, you can compare the effects of market volatilities on Cognizant Technology and MaxLinear 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 Cognizant Technology with a short position of MaxLinear. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cognizant Technology and MaxLinear.
Diversification Opportunities for Cognizant Technology and MaxLinear
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Cognizant and MaxLinear is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Cognizant Technology Solutions and MaxLinear in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MaxLinear and Cognizant 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 Cognizant Technology Solutions are associated (or correlated) with MaxLinear. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MaxLinear has no effect on the direction of Cognizant Technology i.e., Cognizant Technology and MaxLinear go up and down completely randomly.
Pair Corralation between Cognizant Technology and MaxLinear
Assuming the 90 days horizon Cognizant Technology is expected to generate 6.82 times less return on investment than MaxLinear. But when comparing it to its historical volatility, Cognizant Technology Solutions is 2.84 times less risky than MaxLinear. It trades about 0.09 of its potential returns per unit of risk. MaxLinear is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 1,367 in MaxLinear on October 23, 2024 and sell it today you would earn a total of 936.00 from holding MaxLinear or generate 68.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.33% |
Values | Daily Returns |
Cognizant Technology Solutions vs. MaxLinear
Performance |
Timeline |
Cognizant Technology |
MaxLinear |
Cognizant Technology and MaxLinear Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cognizant Technology and MaxLinear
The main advantage of trading using opposite Cognizant Technology and MaxLinear positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cognizant Technology position performs unexpectedly, MaxLinear 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 MaxLinear will offset losses from the drop in MaxLinear's long position.Cognizant Technology vs. US FOODS HOLDING | Cognizant Technology vs. CAL MAINE FOODS | Cognizant Technology vs. GEELY AUTOMOBILE | Cognizant Technology vs. Ebro Foods SA |
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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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