Correlation Between Stockland Corp and HANOVER INSURANCE
Can any of the company-specific risk be diversified away by investing in both Stockland Corp 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 Stockland Corp and HANOVER INSURANCE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Stockland Corp and HANOVER INSURANCE, you can compare the effects of market volatilities on Stockland Corp 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 Stockland Corp with a short position of HANOVER INSURANCE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Stockland Corp and HANOVER INSURANCE.
Diversification Opportunities for Stockland Corp and HANOVER INSURANCE
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Stockland and HANOVER is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Stockland Corp and HANOVER INSURANCE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HANOVER INSURANCE and Stockland Corp 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 Stockland Corp 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 Stockland Corp i.e., Stockland Corp and HANOVER INSURANCE go up and down completely randomly.
Pair Corralation between Stockland Corp and HANOVER INSURANCE
Assuming the 90 days trading horizon Stockland Corp is expected to generate 4.36 times less return on investment than HANOVER INSURANCE. In addition to that, Stockland Corp is 1.04 times more volatile than HANOVER INSURANCE. It trades about 0.02 of its total potential returns per unit of risk. HANOVER INSURANCE is currently generating about 0.08 per unit of volatility. If you would invest 14,519 in HANOVER INSURANCE on December 23, 2024 and sell it today you would earn a total of 1,181 from holding HANOVER INSURANCE or generate 8.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Stockland Corp vs. HANOVER INSURANCE
Performance |
Timeline |
Stockland Corp |
HANOVER INSURANCE |
Stockland Corp and HANOVER INSURANCE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Stockland Corp and HANOVER INSURANCE
The main advantage of trading using opposite Stockland Corp and HANOVER INSURANCE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Stockland Corp 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.Stockland Corp vs. Sporting Clube de | Stockland Corp vs. NTG Nordic Transport | Stockland Corp vs. COLUMBIA SPORTSWEAR | Stockland Corp vs. PARKEN Sport Entertainment |
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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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
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