Correlation Between SINGAPORE AIRLINES and Fair Isaac
Can any of the company-specific risk be diversified away by investing in both SINGAPORE AIRLINES and Fair Isaac 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 Fair Isaac into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SINGAPORE AIRLINES and Fair Isaac Corp, you can compare the effects of market volatilities on SINGAPORE AIRLINES and Fair Isaac 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 Fair Isaac. Check out your portfolio center. Please also check ongoing floating volatility patterns of SINGAPORE AIRLINES and Fair Isaac.
Diversification Opportunities for SINGAPORE AIRLINES and Fair Isaac
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between SINGAPORE and Fair is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding SINGAPORE AIRLINES and Fair Isaac Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fair Isaac Corp 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 Fair Isaac. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fair Isaac Corp has no effect on the direction of SINGAPORE AIRLINES i.e., SINGAPORE AIRLINES and Fair Isaac go up and down completely randomly.
Pair Corralation between SINGAPORE AIRLINES and Fair Isaac
Assuming the 90 days trading horizon SINGAPORE AIRLINES is expected to generate 42.44 times less return on investment than Fair Isaac. But when comparing it to its historical volatility, SINGAPORE AIRLINES is 18.2 times less risky than Fair Isaac. It trades about 0.03 of its potential returns per unit of risk. Fair Isaac Corp is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 70,500 in Fair Isaac Corp on August 31, 2024 and sell it today you would earn a total of 156,000 from holding Fair Isaac Corp or generate 221.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SINGAPORE AIRLINES vs. Fair Isaac Corp
Performance |
Timeline |
SINGAPORE AIRLINES |
Fair Isaac Corp |
SINGAPORE AIRLINES and Fair Isaac Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SINGAPORE AIRLINES and Fair Isaac
The main advantage of trading using opposite SINGAPORE AIRLINES and Fair Isaac positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SINGAPORE AIRLINES position performs unexpectedly, Fair Isaac 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 Fair Isaac will offset losses from the drop in Fair Isaac's long position.SINGAPORE AIRLINES vs. Fair Isaac Corp | SINGAPORE AIRLINES vs. Air New Zealand | SINGAPORE AIRLINES vs. NTG Nordic Transport | SINGAPORE AIRLINES vs. Texas Roadhouse |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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