Correlation Between Sabre Insurance and Brown Brown
Can any of the company-specific risk be diversified away by investing in both Sabre Insurance and Brown Brown 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 Brown Brown 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 Brown Brown, you can compare the effects of market volatilities on Sabre Insurance and Brown Brown 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 Brown Brown. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sabre Insurance and Brown Brown.
Diversification Opportunities for Sabre Insurance and Brown Brown
-0.8 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Sabre and Brown is -0.8. Overlapping area represents the amount of risk that can be diversified away by holding Sabre Insurance Group and Brown Brown in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Brown Brown 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 Brown Brown. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Brown Brown has no effect on the direction of Sabre Insurance i.e., Sabre Insurance and Brown Brown go up and down completely randomly.
Pair Corralation between Sabre Insurance and Brown Brown
Assuming the 90 days horizon Sabre Insurance Group is expected to generate 1.14 times more return on investment than Brown Brown. However, Sabre Insurance is 1.14 times more volatile than Brown Brown. It trades about 0.09 of its potential returns per unit of risk. Brown Brown is currently generating about 0.05 per unit of risk. If you would invest 160.00 in Sabre Insurance Group on September 27, 2024 and sell it today you would earn a total of 10.00 from holding Sabre Insurance Group or generate 6.25% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Sabre Insurance Group vs. Brown Brown
Performance |
Timeline |
Sabre Insurance Group |
Brown Brown |
Sabre Insurance and Brown Brown Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sabre Insurance and Brown Brown
The main advantage of trading using opposite Sabre Insurance and Brown Brown positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sabre Insurance position performs unexpectedly, Brown Brown 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 Brown Brown will offset losses from the drop in Brown Brown's long position.Sabre Insurance vs. NURAN WIRELESS INC | Sabre Insurance vs. Sanyo Chemical Industries | Sabre Insurance vs. KINGBOARD CHEMICAL | Sabre Insurance vs. alstria office REIT AG |
Brown Brown vs. XTANT MEDICAL HLDGS | Brown Brown vs. CompuGroup Medical SE | Brown Brown vs. Compugroup Medical SE | Brown Brown vs. MEDICAL FACILITIES NEW |
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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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