Correlation Between United Airlines and LPL Financial
Can any of the company-specific risk be diversified away by investing in both United Airlines and LPL 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 United Airlines and LPL Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between United Airlines Holdings and LPL Financial Holdings, you can compare the effects of market volatilities on United Airlines and LPL 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 United Airlines with a short position of LPL Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of United Airlines and LPL Financial.
Diversification Opportunities for United Airlines and LPL Financial
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between United and LPL is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding United Airlines Holdings and LPL Financial Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LPL Financial Holdings and United 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 United Airlines Holdings are associated (or correlated) with LPL Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LPL Financial Holdings has no effect on the direction of United Airlines i.e., United Airlines and LPL Financial go up and down completely randomly.
Pair Corralation between United Airlines and LPL Financial
Assuming the 90 days trading horizon United Airlines Holdings is expected to under-perform the LPL Financial. In addition to that, United Airlines is 1.37 times more volatile than LPL Financial Holdings. It trades about -0.21 of its total potential returns per unit of risk. LPL Financial Holdings is currently generating about -0.07 per unit of volatility. If you would invest 11,513 in LPL Financial Holdings on December 24, 2024 and sell it today you would lose (1,022) from holding LPL Financial Holdings or give up 8.88% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 96.61% |
Values | Daily Returns |
United Airlines Holdings vs. LPL Financial Holdings
Performance |
Timeline |
United Airlines Holdings |
LPL Financial Holdings |
United Airlines and LPL Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United Airlines and LPL Financial
The main advantage of trading using opposite United Airlines and LPL Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United Airlines position performs unexpectedly, LPL 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 LPL Financial will offset losses from the drop in LPL Financial's long position.United Airlines vs. Roper Technologies, | United Airlines vs. Marvell Technology | United Airlines vs. Cognizant Technology Solutions | United Airlines vs. Seagate Technology Holdings |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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