Correlation Between Aspen Insurance and Siriuspoint
Can any of the company-specific risk be diversified away by investing in both Aspen Insurance and Siriuspoint 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 Aspen Insurance and Siriuspoint into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aspen Insurance Holdings and Siriuspoint, you can compare the effects of market volatilities on Aspen Insurance and Siriuspoint 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 Aspen Insurance with a short position of Siriuspoint. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aspen Insurance and Siriuspoint.
Diversification Opportunities for Aspen Insurance and Siriuspoint
-0.7 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Aspen and Siriuspoint is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding Aspen Insurance Holdings and Siriuspoint in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Siriuspoint and Aspen 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 Aspen Insurance Holdings are associated (or correlated) with Siriuspoint. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Siriuspoint has no effect on the direction of Aspen Insurance i.e., Aspen Insurance and Siriuspoint go up and down completely randomly.
Pair Corralation between Aspen Insurance and Siriuspoint
Assuming the 90 days trading horizon Aspen Insurance Holdings is expected to under-perform the Siriuspoint. But the preferred stock apears to be less risky and, when comparing its historical volatility, Aspen Insurance Holdings is 3.2 times less risky than Siriuspoint. The preferred stock trades about -0.03 of its potential returns per unit of risk. The Siriuspoint is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 1,462 in Siriuspoint on August 31, 2024 and sell it today you would earn a total of 83.00 from holding Siriuspoint or generate 5.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Aspen Insurance Holdings vs. Siriuspoint
Performance |
Timeline |
Aspen Insurance Holdings |
Siriuspoint |
Aspen Insurance and Siriuspoint Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aspen Insurance and Siriuspoint
The main advantage of trading using opposite Aspen Insurance and Siriuspoint positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aspen Insurance position performs unexpectedly, Siriuspoint 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 Siriuspoint will offset losses from the drop in Siriuspoint's long position.Aspen Insurance vs. The Allstate | Aspen Insurance vs. Aspen Insurance Holdings | Aspen Insurance vs. AmTrust Financial Services | Aspen Insurance vs. Argo Group International |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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