Correlation Between Hanover Insurance and RLI Corp
Can any of the company-specific risk be diversified away by investing in both Hanover Insurance and RLI Corp 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 RLI Corp 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 RLI Corp, you can compare the effects of market volatilities on Hanover Insurance and RLI Corp 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 RLI Corp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hanover Insurance and RLI Corp.
Diversification Opportunities for Hanover Insurance and RLI Corp
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Hanover and RLI is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding The Hanover Insurance and RLI Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RLI Corp 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 RLI Corp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of RLI Corp has no effect on the direction of Hanover Insurance i.e., Hanover Insurance and RLI Corp go up and down completely randomly.
Pair Corralation between Hanover Insurance and RLI Corp
Considering the 90-day investment horizon The Hanover Insurance is expected to generate 0.94 times more return on investment than RLI Corp. However, The Hanover Insurance is 1.06 times less risky than RLI Corp. It trades about 0.02 of its potential returns per unit of risk. RLI Corp is currently generating about -0.14 per unit of risk. If you would invest 16,136 in The Hanover Insurance on November 20, 2024 and sell it today you would earn a total of 130.00 from holding The Hanover Insurance or generate 0.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
The Hanover Insurance vs. RLI Corp
Performance |
Timeline |
Hanover Insurance |
RLI Corp |
Hanover Insurance and RLI Corp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hanover Insurance and RLI Corp
The main advantage of trading using opposite Hanover Insurance and RLI Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hanover Insurance position performs unexpectedly, RLI Corp 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 RLI Corp will offset losses from the drop in RLI Corp's long position.Hanover Insurance vs. Horace Mann Educators | Hanover Insurance vs. Kemper | Hanover Insurance vs. RLI Corp | Hanover Insurance vs. Global Indemnity PLC |
RLI Corp vs. Horace Mann Educators | RLI Corp vs. Kemper | RLI Corp vs. Global Indemnity PLC | RLI Corp vs. Argo Group International |
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 Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
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