Correlation Between Hanover Insurance and BranchOut Food
Can any of the company-specific risk be diversified away by investing in both Hanover Insurance and BranchOut Food 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 Hanover Insurance and BranchOut Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Hanover Insurance and BranchOut Food Common, you can compare the effects of market volatilities on Hanover Insurance and BranchOut Food 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 Hanover Insurance with a short position of BranchOut Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hanover Insurance and BranchOut Food.
Diversification Opportunities for Hanover Insurance and BranchOut Food
-0.02 | Correlation Coefficient |
Good diversification
The 3 months correlation between Hanover and BranchOut is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding The Hanover Insurance and BranchOut Food Common in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BranchOut Food Common and Hanover 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 The Hanover Insurance are associated (or correlated) with BranchOut Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BranchOut Food Common has no effect on the direction of Hanover Insurance i.e., Hanover Insurance and BranchOut Food go up and down completely randomly.
Pair Corralation between Hanover Insurance and BranchOut Food
Considering the 90-day investment horizon Hanover Insurance is expected to generate 2.76 times less return on investment than BranchOut Food. But when comparing it to its historical volatility, The Hanover Insurance is 2.85 times less risky than BranchOut Food. It trades about 0.12 of its potential returns per unit of risk. BranchOut Food Common is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 161.00 in BranchOut Food Common on December 22, 2024 and sell it today you would earn a total of 46.00 from holding BranchOut Food Common or generate 28.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
The Hanover Insurance vs. BranchOut Food Common
Performance |
Timeline |
Hanover Insurance |
BranchOut Food Common |
Hanover Insurance and BranchOut Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hanover Insurance and BranchOut Food
The main advantage of trading using opposite Hanover Insurance and BranchOut Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hanover Insurance position performs unexpectedly, BranchOut Food 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 BranchOut Food will offset losses from the drop in BranchOut Food's long position.Hanover Insurance vs. Horace Mann Educators | Hanover Insurance vs. Kemper | Hanover Insurance vs. RLI Corp | Hanover Insurance vs. Global Indemnity PLC |
BranchOut Food vs. CNA Financial | BranchOut Food vs. Mitsubishi UFJ Lease | BranchOut Food vs. Kinsale Capital Group | BranchOut Food vs. Custom Truck One |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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