Correlation Between CPI Aerostructures and StandardAero,
Can any of the company-specific risk be diversified away by investing in both CPI Aerostructures and StandardAero, 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 StandardAero, into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CPI Aerostructures and StandardAero,, you can compare the effects of market volatilities on CPI Aerostructures and StandardAero, 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 StandardAero,. Check out your portfolio center. Please also check ongoing floating volatility patterns of CPI Aerostructures and StandardAero,.
Diversification Opportunities for CPI Aerostructures and StandardAero,
-0.8 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between CPI and StandardAero, is -0.8. Overlapping area represents the amount of risk that can be diversified away by holding CPI Aerostructures and StandardAero, in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on StandardAero, 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 StandardAero,. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of StandardAero, has no effect on the direction of CPI Aerostructures i.e., CPI Aerostructures and StandardAero, go up and down completely randomly.
Pair Corralation between CPI Aerostructures and StandardAero,
Considering the 90-day investment horizon CPI Aerostructures is expected to generate 2.82 times more return on investment than StandardAero,. However, CPI Aerostructures is 2.82 times more volatile than StandardAero,. It trades about 0.31 of its potential returns per unit of risk. StandardAero, is currently generating about -0.03 per unit of risk. If you would invest 386.00 in CPI Aerostructures on October 24, 2024 and sell it today you would earn a total of 113.00 from holding CPI Aerostructures or generate 29.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
CPI Aerostructures vs. StandardAero,
Performance |
Timeline |
CPI Aerostructures |
StandardAero, |
CPI Aerostructures and StandardAero, Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CPI Aerostructures and StandardAero,
The main advantage of trading using opposite CPI Aerostructures and StandardAero, positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CPI Aerostructures position performs unexpectedly, StandardAero, 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 StandardAero, will offset losses from the drop in StandardAero,'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 |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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