Correlation Between Air Lease and FTAI Infrastructure
Can any of the company-specific risk be diversified away by investing in both Air Lease and FTAI Infrastructure 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 Air Lease and FTAI Infrastructure into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Air Lease and FTAI Infrastructure, you can compare the effects of market volatilities on Air Lease and FTAI Infrastructure 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 Air Lease with a short position of FTAI Infrastructure. Check out your portfolio center. Please also check ongoing floating volatility patterns of Air Lease and FTAI Infrastructure.
Diversification Opportunities for Air Lease and FTAI Infrastructure
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Air and FTAI is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding Air Lease and FTAI Infrastructure in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FTAI Infrastructure and Air Lease 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 Air Lease are associated (or correlated) with FTAI Infrastructure. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FTAI Infrastructure has no effect on the direction of Air Lease i.e., Air Lease and FTAI Infrastructure go up and down completely randomly.
Pair Corralation between Air Lease and FTAI Infrastructure
Allowing for the 90-day total investment horizon Air Lease is expected to generate 0.56 times more return on investment than FTAI Infrastructure. However, Air Lease is 1.8 times less risky than FTAI Infrastructure. It trades about 0.12 of its potential returns per unit of risk. FTAI Infrastructure is currently generating about -0.13 per unit of risk. If you would invest 4,377 in Air Lease on September 21, 2024 and sell it today you would earn a total of 369.00 from holding Air Lease or generate 8.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Air Lease vs. FTAI Infrastructure
Performance |
Timeline |
Air Lease |
FTAI Infrastructure |
Air Lease and FTAI Infrastructure Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Air Lease and FTAI Infrastructure
The main advantage of trading using opposite Air Lease and FTAI Infrastructure positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Air Lease position performs unexpectedly, FTAI Infrastructure 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 FTAI Infrastructure will offset losses from the drop in FTAI Infrastructure's long position.Air Lease vs. McGrath RentCorp | Air Lease vs. Alta Equipment Group | Air Lease vs. PROG Holdings | Air Lease vs. Mega Matrix Corp |
FTAI Infrastructure vs. Steel Partners Holdings | FTAI Infrastructure vs. Brookfield Business Partners | FTAI Infrastructure vs. Griffon | FTAI Infrastructure vs. Tejon Ranch Co |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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