Correlation Between Brown Brown and Baldwin Insurance
Can any of the company-specific risk be diversified away by investing in both Brown Brown and Baldwin 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 Brown Brown and Baldwin Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Brown Brown and The Baldwin Insurance, you can compare the effects of market volatilities on Brown Brown and Baldwin 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 Brown Brown with a short position of Baldwin Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Brown Brown and Baldwin Insurance.
Diversification Opportunities for Brown Brown and Baldwin Insurance
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Brown and Baldwin is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Brown Brown and The Baldwin Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Baldwin Insurance and Brown Brown 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 Brown Brown are associated (or correlated) with Baldwin Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Baldwin Insurance has no effect on the direction of Brown Brown i.e., Brown Brown and Baldwin Insurance go up and down completely randomly.
Pair Corralation between Brown Brown and Baldwin Insurance
Considering the 90-day investment horizon Brown Brown is expected to generate 0.45 times more return on investment than Baldwin Insurance. However, Brown Brown is 2.2 times less risky than Baldwin Insurance. It trades about 0.11 of its potential returns per unit of risk. The Baldwin Insurance is currently generating about 0.04 per unit of risk. If you would invest 5,760 in Brown Brown on November 1, 2024 and sell it today you would earn a total of 4,557 from holding Brown Brown or generate 79.11% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Brown Brown vs. The Baldwin Insurance
Performance |
| Timeline |
| Brown Brown |
| Baldwin Insurance |
Brown Brown and Baldwin Insurance Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Brown Brown and Baldwin Insurance
The main advantage of trading using opposite Brown Brown and Baldwin Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Brown Brown position performs unexpectedly, Baldwin 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 Baldwin Insurance will offset losses from the drop in Baldwin Insurance's long position.| Brown Brown vs. Marsh McLennan Companies | Brown Brown vs. Aon PLC | Brown Brown vs. Willis Towers Watson | Brown Brown vs. Erie Indemnity |
| Baldwin Insurance vs. Abcellera Biologics | Baldwin Insurance vs. Regeneron Pharmaceuticals | Baldwin Insurance vs. Lipocine | Baldwin Insurance vs. Sonos Inc |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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