Correlation Between Boeing and Air Lease
Can any of the company-specific risk be diversified away by investing in both Boeing and Air Lease 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 Boeing and Air Lease into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Boeing and Air Lease, you can compare the effects of market volatilities on Boeing and Air Lease 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 Boeing with a short position of Air Lease. Check out your portfolio center. Please also check ongoing floating volatility patterns of Boeing and Air Lease.
Diversification Opportunities for Boeing and Air Lease
Average diversification
The 3 months correlation between Boeing and Air is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding The Boeing and Air Lease in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Air Lease and Boeing 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 The Boeing are associated (or correlated) with Air Lease. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Air Lease has no effect on the direction of Boeing i.e., Boeing and Air Lease go up and down completely randomly.
Pair Corralation between Boeing and Air Lease
Allowing for the 90-day total investment horizon The Boeing is expected to generate 1.21 times more return on investment than Air Lease. However, Boeing is 1.21 times more volatile than Air Lease. It trades about 0.47 of its potential returns per unit of risk. Air Lease is currently generating about 0.08 per unit of risk. If you would invest 14,560 in The Boeing on September 20, 2024 and sell it today you would earn a total of 2,702 from holding The Boeing or generate 18.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
The Boeing vs. Air Lease
Performance |
Timeline |
Boeing |
Air Lease |
Boeing and Air Lease Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Boeing and Air Lease
The main advantage of trading using opposite Boeing and Air Lease positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Boeing position performs unexpectedly, Air Lease 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 Air Lease will offset losses from the drop in Air Lease's long position.The idea behind The Boeing and Air Lease pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Air Lease vs. McGrath RentCorp | Air Lease vs. Custom Truck One | Air Lease vs. Alta Equipment Group | Air Lease vs. PROG Holdings |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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