Correlation Between Singapore Airlines and BHP Group
Can any of the company-specific risk be diversified away by investing in both Singapore Airlines and BHP Group 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 BHP Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Singapore Airlines Limited and BHP Group Limited, you can compare the effects of market volatilities on Singapore Airlines and BHP Group 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 BHP Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Singapore Airlines and BHP Group.
Diversification Opportunities for Singapore Airlines and BHP Group
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Singapore and BHP is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding Singapore Airlines Limited and BHP Group Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BHP Group Limited 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 Limited are associated (or correlated) with BHP Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BHP Group Limited has no effect on the direction of Singapore Airlines i.e., Singapore Airlines and BHP Group go up and down completely randomly.
Pair Corralation between Singapore Airlines and BHP Group
Assuming the 90 days trading horizon Singapore Airlines Limited is expected to generate 0.85 times more return on investment than BHP Group. However, Singapore Airlines Limited is 1.17 times less risky than BHP Group. It trades about 0.05 of its potential returns per unit of risk. BHP Group Limited is currently generating about -0.01 per unit of risk. If you would invest 449.00 in Singapore Airlines Limited on December 22, 2024 and sell it today you would earn a total of 11.00 from holding Singapore Airlines Limited or generate 2.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Singapore Airlines Limited vs. BHP Group Limited
Performance |
Timeline |
Singapore Airlines |
BHP Group Limited |
Singapore Airlines and BHP Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Singapore Airlines and BHP Group
The main advantage of trading using opposite Singapore Airlines and BHP Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Singapore Airlines position performs unexpectedly, BHP Group 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 BHP Group will offset losses from the drop in BHP Group's long position.Singapore Airlines vs. CHINA SOUTHN AIR H | Singapore Airlines vs. FAIR ISAAC | Singapore Airlines vs. Chengdu PUTIAN Telecommunications | Singapore Airlines vs. INTERSHOP Communications Aktiengesellschaft |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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