Correlation Between Mercury General and Buyer Group
Can any of the company-specific risk be diversified away by investing in both Mercury General and Buyer Group 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 Mercury General and Buyer Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mercury General and Buyer Group International, you can compare the effects of market volatilities on Mercury General and Buyer Group 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 Mercury General with a short position of Buyer Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mercury General and Buyer Group.
Diversification Opportunities for Mercury General and Buyer Group
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Mercury and Buyer is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding Mercury General and Buyer Group International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Buyer Group International and Mercury General 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 Mercury General are associated (or correlated) with Buyer Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Buyer Group International has no effect on the direction of Mercury General i.e., Mercury General and Buyer Group go up and down completely randomly.
Pair Corralation between Mercury General and Buyer Group
Considering the 90-day investment horizon Mercury General is expected to generate 0.22 times more return on investment than Buyer Group. However, Mercury General is 4.51 times less risky than Buyer Group. It trades about -0.34 of its potential returns per unit of risk. Buyer Group International is currently generating about -0.08 per unit of risk. If you would invest 7,804 in Mercury General on September 27, 2024 and sell it today you would lose (920.00) from holding Mercury General or give up 11.79% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Mercury General vs. Buyer Group International
Performance |
Timeline |
Mercury General |
Buyer Group International |
Mercury General and Buyer Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mercury General and Buyer Group
The main advantage of trading using opposite Mercury General and Buyer Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mercury General position performs unexpectedly, Buyer Group 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 Buyer Group will offset losses from the drop in Buyer Group's long position.Mercury General vs. Selective Insurance Group | Mercury General vs. Kemper | Mercury General vs. Donegal Group B | Mercury General vs. Argo Group International |
Buyer Group vs. Compania de Minas | Buyer Group vs. Triple Flag Precious | Buyer Group vs. Zimplats Holdings Limited |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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