Correlation Between Spirent Communications and CVR Energy
Can any of the company-specific risk be diversified away by investing in both Spirent Communications and CVR Energy 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 Spirent Communications and CVR Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Spirent Communications plc and CVR Energy, you can compare the effects of market volatilities on Spirent Communications and CVR Energy 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 Spirent Communications with a short position of CVR Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Spirent Communications and CVR Energy.
Diversification Opportunities for Spirent Communications and CVR Energy
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Spirent and CVR is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Spirent Communications plc and CVR Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CVR Energy and Spirent Communications 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 Spirent Communications plc are associated (or correlated) with CVR Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CVR Energy has no effect on the direction of Spirent Communications i.e., Spirent Communications and CVR Energy go up and down completely randomly.
Pair Corralation between Spirent Communications and CVR Energy
Assuming the 90 days trading horizon Spirent Communications is expected to generate 5.25 times less return on investment than CVR Energy. But when comparing it to its historical volatility, Spirent Communications plc is 4.53 times less risky than CVR Energy. It trades about 0.26 of its potential returns per unit of risk. CVR Energy is currently generating about 0.3 of returns per unit of risk over similar time horizon. If you would invest 1,833 in CVR Energy on April 24, 2025 and sell it today you would earn a total of 987.00 from holding CVR Energy or generate 53.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 93.55% |
Values | Daily Returns |
Spirent Communications plc vs. CVR Energy
Performance |
Timeline |
Spirent Communications |
CVR Energy |
Spirent Communications and CVR Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Spirent Communications and CVR Energy
The main advantage of trading using opposite Spirent Communications and CVR Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Spirent Communications position performs unexpectedly, CVR Energy 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 CVR Energy will offset losses from the drop in CVR Energy's long position.Spirent Communications vs. Endeavour Mining Corp | Spirent Communications vs. Thor Mining PLC | Spirent Communications vs. Adriatic Metals | Spirent Communications vs. METALL ZUG AG |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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