Correlation Between LATAM Airlines and Alliance Recovery
Can any of the company-specific risk be diversified away by investing in both LATAM Airlines and Alliance Recovery 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 LATAM Airlines and Alliance Recovery into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LATAM Airlines Group and Alliance Recovery, you can compare the effects of market volatilities on LATAM Airlines and Alliance Recovery 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 LATAM Airlines with a short position of Alliance Recovery. Check out your portfolio center. Please also check ongoing floating volatility patterns of LATAM Airlines and Alliance Recovery.
Diversification Opportunities for LATAM Airlines and Alliance Recovery
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between LATAM and Alliance is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding LATAM Airlines Group and Alliance Recovery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alliance Recovery and LATAM Airlines 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 LATAM Airlines Group are associated (or correlated) with Alliance Recovery. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alliance Recovery has no effect on the direction of LATAM Airlines i.e., LATAM Airlines and Alliance Recovery go up and down completely randomly.
Pair Corralation between LATAM Airlines and Alliance Recovery
Considering the 90-day investment horizon LATAM Airlines Group is expected to generate 0.22 times more return on investment than Alliance Recovery. However, LATAM Airlines Group is 4.56 times less risky than Alliance Recovery. It trades about 0.07 of its potential returns per unit of risk. Alliance Recovery is currently generating about -0.02 per unit of risk. If you would invest 2,470 in LATAM Airlines Group on October 25, 2024 and sell it today you would earn a total of 329.00 from holding LATAM Airlines Group or generate 13.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 25.1% |
Values | Daily Returns |
LATAM Airlines Group vs. Alliance Recovery
Performance |
Timeline |
LATAM Airlines Group |
Alliance Recovery |
LATAM Airlines and Alliance Recovery Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LATAM Airlines and Alliance Recovery
The main advantage of trading using opposite LATAM Airlines and Alliance Recovery positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LATAM Airlines position performs unexpectedly, Alliance Recovery 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 Alliance Recovery will offset losses from the drop in Alliance Recovery's long position.LATAM Airlines vs. Sapiens International | LATAM Airlines vs. Bm Technologies | LATAM Airlines vs. Galaxy Gaming | LATAM Airlines vs. Gamehost |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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