Correlation Between Norse Atlantic and Cathay Pacific
Can any of the company-specific risk be diversified away by investing in both Norse Atlantic 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 Norse Atlantic and Cathay Pacific into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Norse Atlantic ASA and Cathay Pacific Airways, you can compare the effects of market volatilities on Norse Atlantic 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 Norse Atlantic with a short position of Cathay Pacific. Check out your portfolio center. Please also check ongoing floating volatility patterns of Norse Atlantic and Cathay Pacific.
Diversification Opportunities for Norse Atlantic and Cathay Pacific
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Norse and Cathay is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Norse Atlantic ASA 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 Norse Atlantic 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 Norse Atlantic ASA 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 Norse Atlantic i.e., Norse Atlantic and Cathay Pacific go up and down completely randomly.
Pair Corralation between Norse Atlantic and Cathay Pacific
Assuming the 90 days horizon Norse Atlantic ASA is expected to generate 7.32 times more return on investment than Cathay Pacific. However, Norse Atlantic is 7.32 times more volatile than Cathay Pacific Airways. It trades about 0.26 of its potential returns per unit of risk. Cathay Pacific Airways is currently generating about 0.47 per unit of risk. If you would invest 18.00 in Norse Atlantic ASA on September 5, 2024 and sell it today you would earn a total of 13.00 from holding Norse Atlantic ASA or generate 72.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Norse Atlantic ASA vs. Cathay Pacific Airways
Performance |
Timeline |
Norse Atlantic ASA |
Cathay Pacific Airways |
Norse Atlantic and Cathay Pacific Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Norse Atlantic and Cathay Pacific
The main advantage of trading using opposite Norse Atlantic and Cathay Pacific positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Norse Atlantic 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.Norse Atlantic vs. Finnair Oyj | Norse Atlantic vs. easyJet plc | Norse Atlantic vs. Air New Zealand | Norse Atlantic vs. Air China Limited |
Cathay Pacific vs. Finnair Oyj | Cathay Pacific vs. easyJet plc | Cathay Pacific vs. Norse Atlantic ASA | Cathay Pacific vs. Air France KLM SA |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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