Correlation Between Universal Insurance and HCI
Can any of the company-specific risk be diversified away by investing in both Universal Insurance and HCI 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 Universal Insurance and HCI into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Universal Insurance Holdings and HCI Group, you can compare the effects of market volatilities on Universal Insurance and HCI 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 Universal Insurance with a short position of HCI. Check out your portfolio center. Please also check ongoing floating volatility patterns of Universal Insurance and HCI.
Diversification Opportunities for Universal Insurance and HCI
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Universal and HCI is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Universal Insurance Holdings and HCI Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HCI Group and Universal 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 Universal Insurance Holdings are associated (or correlated) with HCI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HCI Group has no effect on the direction of Universal Insurance i.e., Universal Insurance and HCI go up and down completely randomly.
Pair Corralation between Universal Insurance and HCI
Considering the 90-day investment horizon Universal Insurance is expected to generate 2.16 times less return on investment than HCI. But when comparing it to its historical volatility, Universal Insurance Holdings is 1.04 times less risky than HCI. It trades about 0.11 of its potential returns per unit of risk. HCI Group is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 11,475 in HCI Group on December 28, 2024 and sell it today you would earn a total of 3,338 from holding HCI Group or generate 29.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Universal Insurance Holdings vs. HCI Group
Performance |
Timeline |
Universal Insurance |
HCI Group |
Universal Insurance and HCI Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Universal Insurance and HCI
The main advantage of trading using opposite Universal Insurance and HCI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Universal Insurance position performs unexpectedly, HCI 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 HCI will offset losses from the drop in HCI's long position.Universal Insurance vs. HCI Group | Universal Insurance vs. Kingstone Companies | Universal Insurance vs. Horace Mann Educators | Universal Insurance vs. Heritage Insurance Hldgs |
HCI vs. Universal Insurance Holdings | HCI vs. Kingstone Companies | HCI vs. Horace Mann Educators | HCI vs. Heritage Insurance Hldgs |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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