Correlation Between NMI Holdings and United Airlines
Can any of the company-specific risk be diversified away by investing in both NMI Holdings and United Airlines 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 NMI Holdings and United Airlines into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NMI Holdings and United Airlines Holdings, you can compare the effects of market volatilities on NMI Holdings and United Airlines 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 NMI Holdings with a short position of United Airlines. Check out your portfolio center. Please also check ongoing floating volatility patterns of NMI Holdings and United Airlines.
Diversification Opportunities for NMI Holdings and United Airlines
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between NMI and United is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding NMI Holdings and United Airlines Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United Airlines Holdings and NMI Holdings 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 NMI Holdings are associated (or correlated) with United Airlines. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United Airlines Holdings has no effect on the direction of NMI Holdings i.e., NMI Holdings and United Airlines go up and down completely randomly.
Pair Corralation between NMI Holdings and United Airlines
Assuming the 90 days horizon NMI Holdings is expected to generate 0.42 times more return on investment than United Airlines. However, NMI Holdings is 2.37 times less risky than United Airlines. It trades about -0.04 of its potential returns per unit of risk. United Airlines Holdings is currently generating about -0.1 per unit of risk. If you would invest 3,500 in NMI Holdings on December 29, 2024 and sell it today you would lose (160.00) from holding NMI Holdings or give up 4.57% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
NMI Holdings vs. United Airlines Holdings
Performance |
Timeline |
NMI Holdings |
United Airlines Holdings |
NMI Holdings and United Airlines Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NMI Holdings and United Airlines
The main advantage of trading using opposite NMI Holdings and United Airlines positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NMI Holdings position performs unexpectedly, United Airlines 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 United Airlines will offset losses from the drop in United Airlines' long position.NMI Holdings vs. GOLDQUEST MINING | NMI Holdings vs. ADRIATIC METALS LS 013355 | NMI Holdings vs. Zijin Mining Group | NMI Holdings vs. JLF INVESTMENT |
United Airlines vs. STRAYER EDUCATION | United Airlines vs. Microchip Technology Incorporated | United Airlines vs. Wayside Technology Group | United Airlines vs. Vishay Intertechnology |
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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