Correlation Between Sabre Insurance and Marsh McLennan
Can any of the company-specific risk be diversified away by investing in both Sabre Insurance and Marsh McLennan 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 Sabre Insurance and Marsh McLennan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sabre Insurance Group and Marsh McLennan Companies, you can compare the effects of market volatilities on Sabre Insurance and Marsh McLennan 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 Sabre Insurance with a short position of Marsh McLennan. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sabre Insurance and Marsh McLennan.
Diversification Opportunities for Sabre Insurance and Marsh McLennan
-0.67 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Sabre and Marsh is -0.67. Overlapping area represents the amount of risk that can be diversified away by holding Sabre Insurance Group and Marsh McLennan Companies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Marsh McLennan Companies and Sabre 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 Sabre Insurance Group are associated (or correlated) with Marsh McLennan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Marsh McLennan Companies has no effect on the direction of Sabre Insurance i.e., Sabre Insurance and Marsh McLennan go up and down completely randomly.
Pair Corralation between Sabre Insurance and Marsh McLennan
Assuming the 90 days horizon Sabre Insurance Group is expected to generate 1.73 times more return on investment than Marsh McLennan. However, Sabre Insurance is 1.73 times more volatile than Marsh McLennan Companies. It trades about 0.12 of its potential returns per unit of risk. Marsh McLennan Companies is currently generating about -0.08 per unit of risk. If you would invest 148.00 in Sabre Insurance Group on April 25, 2025 and sell it today you would earn a total of 23.00 from holding Sabre Insurance Group or generate 15.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sabre Insurance Group vs. Marsh McLennan Companies
Performance |
Timeline |
Sabre Insurance Group |
Marsh McLennan Companies |
Sabre Insurance and Marsh McLennan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sabre Insurance and Marsh McLennan
The main advantage of trading using opposite Sabre Insurance and Marsh McLennan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sabre Insurance position performs unexpectedly, Marsh McLennan 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 Marsh McLennan will offset losses from the drop in Marsh McLennan's long position.Sabre Insurance vs. Playmates Toys Limited | Sabre Insurance vs. Corsair Gaming | Sabre Insurance vs. Ultra Clean Holdings | Sabre Insurance vs. BRAGG GAMING GRP |
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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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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