Correlation Between SINGAPORE AIRLINES and Schlumberger
Can any of the company-specific risk be diversified away by investing in both SINGAPORE AIRLINES and Schlumberger 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 Schlumberger into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SINGAPORE AIRLINES and Schlumberger Limited, you can compare the effects of market volatilities on SINGAPORE AIRLINES and Schlumberger 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 Schlumberger. Check out your portfolio center. Please also check ongoing floating volatility patterns of SINGAPORE AIRLINES and Schlumberger.
Diversification Opportunities for SINGAPORE AIRLINES and Schlumberger
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between SINGAPORE and Schlumberger is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding SINGAPORE AIRLINES and Schlumberger Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Schlumberger 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 are associated (or correlated) with Schlumberger. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Schlumberger Limited has no effect on the direction of SINGAPORE AIRLINES i.e., SINGAPORE AIRLINES and Schlumberger go up and down completely randomly.
Pair Corralation between SINGAPORE AIRLINES and Schlumberger
Assuming the 90 days trading horizon SINGAPORE AIRLINES is expected to generate 2.01 times less return on investment than Schlumberger. But when comparing it to its historical volatility, SINGAPORE AIRLINES is 1.66 times less risky than Schlumberger. It trades about 0.07 of its potential returns per unit of risk. Schlumberger Limited is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 3,735 in Schlumberger Limited on September 5, 2024 and sell it today you would earn a total of 415.00 from holding Schlumberger Limited or generate 11.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.46% |
Values | Daily Returns |
SINGAPORE AIRLINES vs. Schlumberger Limited
Performance |
Timeline |
SINGAPORE AIRLINES |
Schlumberger Limited |
SINGAPORE AIRLINES and Schlumberger Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SINGAPORE AIRLINES and Schlumberger
The main advantage of trading using opposite SINGAPORE AIRLINES and Schlumberger positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SINGAPORE AIRLINES position performs unexpectedly, Schlumberger 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 Schlumberger will offset losses from the drop in Schlumberger's long position.SINGAPORE AIRLINES vs. TOTAL GABON | SINGAPORE AIRLINES vs. Walgreens Boots Alliance | SINGAPORE AIRLINES vs. Peak Resources Limited |
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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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