Correlation Between NMI Holdings and Southwest Airlines
Can any of the company-specific risk be diversified away by investing in both NMI Holdings and Southwest 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 Southwest 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 Southwest Airlines Co, you can compare the effects of market volatilities on NMI Holdings and Southwest 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 Southwest Airlines. Check out your portfolio center. Please also check ongoing floating volatility patterns of NMI Holdings and Southwest Airlines.
Diversification Opportunities for NMI Holdings and Southwest Airlines
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between NMI and Southwest is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding NMI Holdings and Southwest Airlines Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Southwest Airlines 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 Southwest Airlines. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Southwest Airlines has no effect on the direction of NMI Holdings i.e., NMI Holdings and Southwest Airlines go up and down completely randomly.
Pair Corralation between NMI Holdings and Southwest Airlines
Assuming the 90 days horizon NMI Holdings is expected to generate 5.8 times less return on investment than Southwest Airlines. But when comparing it to its historical volatility, NMI Holdings is 1.11 times less risky than Southwest Airlines. It trades about 0.03 of its potential returns per unit of risk. Southwest Airlines Co is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 2,583 in Southwest Airlines Co on August 31, 2024 and sell it today you would earn a total of 472.00 from holding Southwest Airlines Co or generate 18.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
NMI Holdings vs. Southwest Airlines Co
Performance |
Timeline |
NMI Holdings |
Southwest Airlines |
NMI Holdings and Southwest Airlines Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NMI Holdings and Southwest Airlines
The main advantage of trading using opposite NMI Holdings and Southwest Airlines positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NMI Holdings position performs unexpectedly, Southwest 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 Southwest Airlines will offset losses from the drop in Southwest Airlines' long position.NMI Holdings vs. Iridium Communications | NMI Holdings vs. BOS BETTER ONLINE | NMI Holdings vs. Verizon Communications | NMI Holdings vs. Singapore Telecommunications Limited |
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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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