Correlation Between Singapore Airlines and Singapore Airlines
Can any of the company-specific risk be diversified away by investing in both Singapore Airlines 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 Singapore Airlines and Singapore Airlines into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Singapore Airlines and Singapore Airlines, you can compare the effects of market volatilities on Singapore Airlines 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 Singapore Airlines with a short position of Singapore Airlines. Check out your portfolio center. Please also check ongoing floating volatility patterns of Singapore Airlines and Singapore Airlines.
Diversification Opportunities for Singapore Airlines and Singapore Airlines
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Singapore and Singapore is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Singapore Airlines and Singapore Airlines in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Singapore Airlines and Singapore 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 Singapore Airlines 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 Singapore Airlines i.e., Singapore Airlines and Singapore Airlines go up and down completely randomly.
Pair Corralation between Singapore Airlines and Singapore Airlines
Assuming the 90 days horizon Singapore Airlines is expected to generate 3.6 times more return on investment than Singapore Airlines. However, Singapore Airlines is 3.6 times more volatile than Singapore Airlines. It trades about 0.04 of its potential returns per unit of risk. Singapore Airlines is currently generating about 0.04 per unit of risk. If you would invest 368.00 in Singapore Airlines on September 3, 2024 and sell it today you would earn a total of 103.00 from holding Singapore Airlines or generate 27.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 81.82% |
Values | Daily Returns |
Singapore Airlines vs. Singapore Airlines
Performance |
Timeline |
Singapore Airlines |
Singapore Airlines |
Singapore Airlines and Singapore Airlines Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Singapore Airlines and Singapore Airlines
The main advantage of trading using opposite Singapore Airlines and Singapore Airlines positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Singapore Airlines 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' long position.Singapore Airlines vs. Finnair Oyj | Singapore Airlines vs. easyJet plc | Singapore Airlines vs. Norse Atlantic ASA | Singapore Airlines vs. Air New Zealand |
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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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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