Correlation Between Air Lease and Celestica
Can any of the company-specific risk be diversified away by investing in both Air Lease and Celestica 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 Celestica into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Air Lease and Celestica, you can compare the effects of market volatilities on Air Lease and Celestica 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 Celestica. Check out your portfolio center. Please also check ongoing floating volatility patterns of Air Lease and Celestica.
Diversification Opportunities for Air Lease and Celestica
Very poor diversification
The 3 months correlation between Air and Celestica is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Air Lease and Celestica in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Celestica 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 Celestica. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Celestica has no effect on the direction of Air Lease i.e., Air Lease and Celestica go up and down completely randomly.
Pair Corralation between Air Lease and Celestica
Allowing for the 90-day total investment horizon Air Lease is expected to generate 5.91 times less return on investment than Celestica. But when comparing it to its historical volatility, Air Lease is 1.77 times less risky than Celestica. It trades about 0.04 of its potential returns per unit of risk. Celestica is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 5,779 in Celestica on September 29, 2024 and sell it today you would earn a total of 3,731 from holding Celestica or generate 64.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Air Lease vs. Celestica
Performance |
Timeline |
Air Lease |
Celestica |
Air Lease and Celestica Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Air Lease and Celestica
The main advantage of trading using opposite Air Lease and Celestica positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Air Lease position performs unexpectedly, Celestica 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 Celestica will offset losses from the drop in Celestica's long position.The idea behind Air Lease and Celestica 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.Celestica vs. Quantum Computing | Celestica vs. IONQ Inc | Celestica vs. Quantum | Celestica vs. Arista Networks |
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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