Correlation Between Air New and Cathay Pacific
Can any of the company-specific risk be diversified away by investing in both Air New and Cathay Pacific 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 Cathay Pacific 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 Cathay Pacific Airways, you can compare the effects of market volatilities on Air New and Cathay Pacific 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 Cathay Pacific. Check out your portfolio center. Please also check ongoing floating volatility patterns of Air New and Cathay Pacific.
Diversification Opportunities for Air New and Cathay Pacific
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Air and Cathay is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Air New Zealand and Cathay Pacific Airways in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cathay Pacific Airways 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 Cathay Pacific. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cathay Pacific Airways has no effect on the direction of Air New i.e., Air New and Cathay Pacific go up and down completely randomly.
Pair Corralation between Air New and Cathay Pacific
Assuming the 90 days horizon Air New is expected to generate 4.65 times less return on investment than Cathay Pacific. In addition to that, Air New is 1.21 times more volatile than Cathay Pacific Airways. It trades about 0.01 of its total potential returns per unit of risk. Cathay Pacific Airways is currently generating about 0.08 per unit of volatility. If you would invest 615.00 in Cathay Pacific Airways on December 28, 2024 and sell it today you would earn a total of 57.00 from holding Cathay Pacific Airways or generate 9.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 96.67% |
Values | Daily Returns |
Air New Zealand vs. Cathay Pacific Airways
Performance |
Timeline |
Air New Zealand |
Cathay Pacific Airways |
Air New and Cathay Pacific Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Air New and Cathay Pacific
The main advantage of trading using opposite Air New and Cathay Pacific positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Air New position performs unexpectedly, Cathay Pacific 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 Cathay Pacific will offset losses from the drop in Cathay Pacific's long position.Air New vs. AirAsia Group Berhad | Air New vs. ANA Holdings ADR | Air New vs. Air France KLM SA | Air New vs. Cebu Air |
Cathay Pacific vs. Singapore Airlines | Cathay Pacific vs. International Consolidated Airlines | Cathay Pacific vs. Air France KLM | Cathay Pacific vs. Qantas Airways Ltd |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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