Correlation Between CPI Aerostructures and Safran SA
Can any of the company-specific risk be diversified away by investing in both CPI Aerostructures and Safran SA 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 CPI Aerostructures and Safran SA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CPI Aerostructures and Safran SA, you can compare the effects of market volatilities on CPI Aerostructures and Safran SA 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 CPI Aerostructures with a short position of Safran SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of CPI Aerostructures and Safran SA.
Diversification Opportunities for CPI Aerostructures and Safran SA
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between CPI and Safran is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding CPI Aerostructures and Safran SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Safran SA and CPI Aerostructures 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 CPI Aerostructures are associated (or correlated) with Safran SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Safran SA has no effect on the direction of CPI Aerostructures i.e., CPI Aerostructures and Safran SA go up and down completely randomly.
Pair Corralation between CPI Aerostructures and Safran SA
Considering the 90-day investment horizon CPI Aerostructures is expected to generate 2.25 times more return on investment than Safran SA. However, CPI Aerostructures is 2.25 times more volatile than Safran SA. It trades about 0.35 of its potential returns per unit of risk. Safran SA is currently generating about -0.05 per unit of risk. If you would invest 363.00 in CPI Aerostructures on October 8, 2024 and sell it today you would earn a total of 68.00 from holding CPI Aerostructures or generate 18.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CPI Aerostructures vs. Safran SA
Performance |
Timeline |
CPI Aerostructures |
Safran SA |
CPI Aerostructures and Safran SA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CPI Aerostructures and Safran SA
The main advantage of trading using opposite CPI Aerostructures and Safran SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CPI Aerostructures position performs unexpectedly, Safran SA 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 Safran SA will offset losses from the drop in Safran SA's long position.CPI Aerostructures vs. Ducommun Incorporated | CPI Aerostructures vs. SIFCO Industries | CPI Aerostructures vs. Innovative Solutions and | CPI Aerostructures vs. Air Industries Group |
Safran SA vs. Thales SA ADR | Safran SA vs. MTU Aero Engines | Safran SA vs. Leonardo SpA ADR | Safran SA vs. Thales SA |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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