Correlation Between United Insurance and WILLIS LEASE
Can any of the company-specific risk be diversified away by investing in both United Insurance and WILLIS LEASE 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 Insurance and WILLIS LEASE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between United Insurance Holdings and WILLIS LEASE FIN, you can compare the effects of market volatilities on United Insurance and WILLIS LEASE 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 Insurance with a short position of WILLIS LEASE. Check out your portfolio center. Please also check ongoing floating volatility patterns of United Insurance and WILLIS LEASE.
Diversification Opportunities for United Insurance and WILLIS LEASE
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between United and WILLIS is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding United Insurance Holdings and WILLIS LEASE FIN in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WILLIS LEASE FIN and United Insurance 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 Insurance Holdings are associated (or correlated) with WILLIS LEASE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WILLIS LEASE FIN has no effect on the direction of United Insurance i.e., United Insurance and WILLIS LEASE go up and down completely randomly.
Pair Corralation between United Insurance and WILLIS LEASE
Assuming the 90 days horizon United Insurance is expected to generate 1.85 times less return on investment than WILLIS LEASE. But when comparing it to its historical volatility, United Insurance Holdings is 1.05 times less risky than WILLIS LEASE. It trades about 0.12 of its potential returns per unit of risk. WILLIS LEASE FIN is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 11,686 in WILLIS LEASE FIN on September 19, 2024 and sell it today you would earn a total of 8,314 from holding WILLIS LEASE FIN or generate 71.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
United Insurance Holdings vs. WILLIS LEASE FIN
Performance |
Timeline |
United Insurance Holdings |
WILLIS LEASE FIN |
United Insurance and WILLIS LEASE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United Insurance and WILLIS LEASE
The main advantage of trading using opposite United Insurance and WILLIS LEASE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United Insurance position performs unexpectedly, WILLIS LEASE 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 WILLIS LEASE will offset losses from the drop in WILLIS LEASE's long position.United Insurance vs. Insurance Australia Group | United Insurance vs. Superior Plus Corp | United Insurance vs. SIVERS SEMICONDUCTORS AB | United Insurance vs. CHINA HUARONG ENERHD 50 |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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