Correlation Between SiriusPoint and Brookfield Reinsurance
Can any of the company-specific risk be diversified away by investing in both SiriusPoint and Brookfield Reinsurance 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 Brookfield Reinsurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SiriusPoint and Brookfield Reinsurance, you can compare the effects of market volatilities on SiriusPoint and Brookfield Reinsurance 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 Brookfield Reinsurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of SiriusPoint and Brookfield Reinsurance.
Diversification Opportunities for SiriusPoint and Brookfield Reinsurance
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between SiriusPoint and Brookfield is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding SiriusPoint and Brookfield Reinsurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Brookfield Reinsurance 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 Brookfield Reinsurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Brookfield Reinsurance has no effect on the direction of SiriusPoint i.e., SiriusPoint and Brookfield Reinsurance go up and down completely randomly.
Pair Corralation between SiriusPoint and Brookfield Reinsurance
Assuming the 90 days trading horizon SiriusPoint is expected to generate 0.05 times more return on investment than Brookfield Reinsurance. However, SiriusPoint is 19.58 times less risky than Brookfield Reinsurance. It trades about 0.21 of its potential returns per unit of risk. Brookfield Reinsurance is currently generating about -0.21 per unit of risk. If you would invest 2,497 in SiriusPoint on August 31, 2024 and sell it today you would earn a total of 41.00 from holding SiriusPoint or generate 1.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 36.36% |
Values | Daily Returns |
SiriusPoint vs. Brookfield Reinsurance
Performance |
Timeline |
SiriusPoint |
Brookfield Reinsurance |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
SiriusPoint and Brookfield Reinsurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SiriusPoint and Brookfield Reinsurance
The main advantage of trading using opposite SiriusPoint and Brookfield Reinsurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SiriusPoint position performs unexpectedly, Brookfield Reinsurance 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 Brookfield Reinsurance will offset losses from the drop in Brookfield Reinsurance's long position.SiriusPoint vs. RLJ Lodging Trust | SiriusPoint vs. Argo Group International | SiriusPoint vs. New York Mortgage |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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