Correlation Between Air New and SINGAPORE AIRLINES
Can any of the company-specific risk be diversified away by investing in both Air New and SINGAPORE AIRLINES 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 New and SINGAPORE AIRLINES into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Air New Zealand and SINGAPORE AIRLINES, you can compare the effects of market volatilities on Air New and SINGAPORE AIRLINES 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 New with a short position of SINGAPORE AIRLINES. Check out your portfolio center. Please also check ongoing floating volatility patterns of Air New and SINGAPORE AIRLINES.
Diversification Opportunities for Air New and SINGAPORE AIRLINES
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Air and SINGAPORE is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Air New Zealand and SINGAPORE AIRLINES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SINGAPORE AIRLINES and Air New 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 New Zealand are associated (or correlated) with SINGAPORE AIRLINES. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SINGAPORE AIRLINES has no effect on the direction of Air New i.e., Air New and SINGAPORE AIRLINES go up and down completely randomly.
Pair Corralation between Air New and SINGAPORE AIRLINES
Assuming the 90 days trading horizon Air New Zealand is expected to generate 1.47 times more return on investment than SINGAPORE AIRLINES. However, Air New is 1.47 times more volatile than SINGAPORE AIRLINES. It trades about 0.18 of its potential returns per unit of risk. SINGAPORE AIRLINES is currently generating about 0.07 per unit of risk. If you would invest 28.00 in Air New Zealand on August 31, 2024 and sell it today you would earn a total of 2.00 from holding Air New Zealand or generate 7.14% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Air New Zealand vs. SINGAPORE AIRLINES
Performance |
| Timeline |
| Air New Zealand |
| SINGAPORE AIRLINES |
Air New and SINGAPORE AIRLINES Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Air New and SINGAPORE AIRLINES
The main advantage of trading using opposite Air New and SINGAPORE AIRLINES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Air New position performs unexpectedly, SINGAPORE AIRLINES 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 SINGAPORE AIRLINES will offset losses from the drop in SINGAPORE AIRLINES's long position.| Air New vs. SIVERS SEMICONDUCTORS AB | Air New vs. Darden Restaurants | Air New vs. Reliance Steel Aluminum | Air New vs. Q2M Managementberatung AG |
| SINGAPORE AIRLINES vs. Fair Isaac Corp | SINGAPORE AIRLINES vs. Air New Zealand | SINGAPORE AIRLINES vs. NTG Nordic Transport | SINGAPORE AIRLINES vs. Texas Roadhouse |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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