Correlation Between United Airlines and Weiss Korea
Can any of the company-specific risk be diversified away by investing in both United Airlines and Weiss Korea 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 Weiss Korea 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 Weiss Korea Opportunity, you can compare the effects of market volatilities on United Airlines and Weiss Korea 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 Weiss Korea. Check out your portfolio center. Please also check ongoing floating volatility patterns of United Airlines and Weiss Korea.
Diversification Opportunities for United Airlines and Weiss Korea
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between United and Weiss is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding United Airlines Holdings and Weiss Korea Opportunity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Weiss Korea Opportunity 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 Weiss Korea. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Weiss Korea Opportunity has no effect on the direction of United Airlines i.e., United Airlines and Weiss Korea go up and down completely randomly.
Pair Corralation between United Airlines and Weiss Korea
Assuming the 90 days trading horizon United Airlines Holdings is expected to under-perform the Weiss Korea. In addition to that, United Airlines is 2.07 times more volatile than Weiss Korea Opportunity. It trades about -0.14 of its total potential returns per unit of risk. Weiss Korea Opportunity is currently generating about 0.03 per unit of volatility. If you would invest 13,700 in Weiss Korea Opportunity on December 22, 2024 and sell it today you would earn a total of 300.00 from holding Weiss Korea Opportunity or generate 2.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.41% |
Values | Daily Returns |
United Airlines Holdings vs. Weiss Korea Opportunity
Performance |
Timeline |
United Airlines Holdings |
Weiss Korea Opportunity |
United Airlines and Weiss Korea Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United Airlines and Weiss Korea
The main advantage of trading using opposite United Airlines and Weiss Korea positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United Airlines position performs unexpectedly, Weiss Korea 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 Weiss Korea will offset losses from the drop in Weiss Korea's long position.United Airlines vs. Fevertree Drinks Plc | United Airlines vs. International Biotechnology Trust | United Airlines vs. MoneysupermarketCom Group PLC | United Airlines vs. Aeorema Communications Plc |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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