Correlation Between Siriuspoint and Universal Insurance
Can any of the company-specific risk be diversified away by investing in both Siriuspoint and Universal Insurance 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 Siriuspoint and Universal Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Siriuspoint and Universal Insurance Holdings, you can compare the effects of market volatilities on Siriuspoint and Universal Insurance 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 Siriuspoint with a short position of Universal Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siriuspoint and Universal Insurance.
Diversification Opportunities for Siriuspoint and Universal Insurance
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Siriuspoint and Universal is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Siriuspoint and Universal Insurance Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Universal Insurance and Siriuspoint 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 Siriuspoint are associated (or correlated) with Universal Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Universal Insurance has no effect on the direction of Siriuspoint i.e., Siriuspoint and Universal Insurance go up and down completely randomly.
Pair Corralation between Siriuspoint and Universal Insurance
Given the investment horizon of 90 days Siriuspoint is expected to generate 1.2 times more return on investment than Universal Insurance. However, Siriuspoint is 1.2 times more volatile than Universal Insurance Holdings. It trades about 0.08 of its potential returns per unit of risk. Universal Insurance Holdings is currently generating about 0.1 per unit of risk. If you would invest 1,340 in Siriuspoint on October 8, 2024 and sell it today you would earn a total of 174.00 from holding Siriuspoint or generate 12.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Siriuspoint vs. Universal Insurance Holdings
Performance |
Timeline |
Siriuspoint |
Universal Insurance |
Siriuspoint and Universal Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Siriuspoint and Universal Insurance
The main advantage of trading using opposite Siriuspoint and Universal Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siriuspoint position performs unexpectedly, Universal Insurance 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 Universal Insurance will offset losses from the drop in Universal Insurance's long position.Siriuspoint vs. Maiden Holdings | Siriuspoint vs. Reinsurance Group of | Siriuspoint vs. Oxbridge Re Holdings | Siriuspoint vs. Greenlight Capital Re |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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