Correlation Between SINGAPORE AIRLINES and Regions Financial
Can any of the company-specific risk be diversified away by investing in both SINGAPORE AIRLINES and Regions Financial 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 Regions Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SINGAPORE AIRLINES and Regions Financial, you can compare the effects of market volatilities on SINGAPORE AIRLINES and Regions Financial 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 Regions Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of SINGAPORE AIRLINES and Regions Financial.
Diversification Opportunities for SINGAPORE AIRLINES and Regions Financial
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between SINGAPORE and Regions is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding SINGAPORE AIRLINES and Regions Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Regions Financial 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 Regions Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Regions Financial has no effect on the direction of SINGAPORE AIRLINES i.e., SINGAPORE AIRLINES and Regions Financial go up and down completely randomly.
Pair Corralation between SINGAPORE AIRLINES and Regions Financial
Assuming the 90 days trading horizon SINGAPORE AIRLINES is expected to generate 7.99 times less return on investment than Regions Financial. But when comparing it to its historical volatility, SINGAPORE AIRLINES is 1.43 times less risky than Regions Financial. It trades about 0.03 of its potential returns per unit of risk. Regions Financial is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 1,951 in Regions Financial on September 13, 2024 and sell it today you would earn a total of 469.00 from holding Regions Financial or generate 24.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SINGAPORE AIRLINES vs. Regions Financial
Performance |
Timeline |
SINGAPORE AIRLINES |
Regions Financial |
SINGAPORE AIRLINES and Regions Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SINGAPORE AIRLINES and Regions Financial
The main advantage of trading using opposite SINGAPORE AIRLINES and Regions Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SINGAPORE AIRLINES position performs unexpectedly, Regions Financial 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 Regions Financial will offset losses from the drop in Regions Financial's long position.SINGAPORE AIRLINES vs. Ramsay Health Care | SINGAPORE AIRLINES vs. FEMALE HEALTH | SINGAPORE AIRLINES vs. GUARDANT HEALTH CL | SINGAPORE AIRLINES vs. American Eagle Outfitters |
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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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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