Correlation Between SOUTHWEST AIRLINES and Jupiter Fund
Can any of the company-specific risk be diversified away by investing in both SOUTHWEST AIRLINES and Jupiter Fund 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 SOUTHWEST AIRLINES and Jupiter Fund into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SOUTHWEST AIRLINES and Jupiter Fund Management, you can compare the effects of market volatilities on SOUTHWEST AIRLINES and Jupiter Fund 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 SOUTHWEST AIRLINES with a short position of Jupiter Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of SOUTHWEST AIRLINES and Jupiter Fund.
Diversification Opportunities for SOUTHWEST AIRLINES and Jupiter Fund
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between SOUTHWEST and Jupiter is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding SOUTHWEST AIRLINES and Jupiter Fund Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jupiter Fund Management and SOUTHWEST 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 SOUTHWEST AIRLINES are associated (or correlated) with Jupiter Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jupiter Fund Management has no effect on the direction of SOUTHWEST AIRLINES i.e., SOUTHWEST AIRLINES and Jupiter Fund go up and down completely randomly.
Pair Corralation between SOUTHWEST AIRLINES and Jupiter Fund
Assuming the 90 days trading horizon SOUTHWEST AIRLINES is expected to generate 1.73 times less return on investment than Jupiter Fund. But when comparing it to its historical volatility, SOUTHWEST AIRLINES is 1.35 times less risky than Jupiter Fund. It trades about 0.25 of its potential returns per unit of risk. Jupiter Fund Management is currently generating about 0.32 of returns per unit of risk over similar time horizon. If you would invest 85.00 in Jupiter Fund Management on April 25, 2025 and sell it today you would earn a total of 65.00 from holding Jupiter Fund Management or generate 76.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
SOUTHWEST AIRLINES vs. Jupiter Fund Management
Performance |
Timeline |
SOUTHWEST AIRLINES |
Jupiter Fund Management |
SOUTHWEST AIRLINES and Jupiter Fund Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SOUTHWEST AIRLINES and Jupiter Fund
The main advantage of trading using opposite SOUTHWEST AIRLINES and Jupiter Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SOUTHWEST AIRLINES position performs unexpectedly, Jupiter Fund 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 Jupiter Fund will offset losses from the drop in Jupiter Fund's long position.SOUTHWEST AIRLINES vs. Apple Inc | SOUTHWEST AIRLINES vs. Apple Inc | SOUTHWEST AIRLINES vs. Apple Inc | SOUTHWEST AIRLINES vs. Apple Inc |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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