Correlation Between Big Tree and Hanover Insurance
Can any of the company-specific risk be diversified away by investing in both Big Tree and Hanover 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 Big Tree and Hanover Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Big Tree Cloud and The Hanover Insurance, you can compare the effects of market volatilities on Big Tree and Hanover 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 Big Tree with a short position of Hanover Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Big Tree and Hanover Insurance.
Diversification Opportunities for Big Tree and Hanover Insurance
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Big and Hanover is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding Big Tree Cloud and The Hanover Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hanover Insurance and Big Tree 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 Big Tree Cloud are associated (or correlated) with Hanover Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hanover Insurance has no effect on the direction of Big Tree i.e., Big Tree and Hanover Insurance go up and down completely randomly.
Pair Corralation between Big Tree and Hanover Insurance
Assuming the 90 days horizon Big Tree Cloud is expected to generate 9.62 times more return on investment than Hanover Insurance. However, Big Tree is 9.62 times more volatile than The Hanover Insurance. It trades about 0.02 of its potential returns per unit of risk. The Hanover Insurance is currently generating about 0.06 per unit of risk. If you would invest 4.15 in Big Tree Cloud on September 16, 2024 and sell it today you would lose (1.16) from holding Big Tree Cloud or give up 27.95% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.46% |
Values | Daily Returns |
Big Tree Cloud vs. The Hanover Insurance
Performance |
Timeline |
Big Tree Cloud |
Hanover Insurance |
Big Tree and Hanover Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Big Tree and Hanover Insurance
The main advantage of trading using opposite Big Tree and Hanover Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Big Tree position performs unexpectedly, Hanover 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 Hanover Insurance will offset losses from the drop in Hanover Insurance's long position.Big Tree vs. The Hanover Insurance | Big Tree vs. Aegon NV ADR | Big Tree vs. Sabre Insurance Group | Big Tree vs. SL Green Realty |
Hanover Insurance vs. Horace Mann Educators | Hanover Insurance vs. Kemper | Hanover Insurance vs. RLI Corp | Hanover Insurance vs. Global Indemnity PLC |
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 Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
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