Correlation Between Hanover Insurance and Aspira Womens
Can any of the company-specific risk be diversified away by investing in both Hanover Insurance and Aspira Womens 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 Aspira Womens 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 Aspira Womens Health, you can compare the effects of market volatilities on Hanover Insurance and Aspira Womens 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 Aspira Womens. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hanover Insurance and Aspira Womens.
Diversification Opportunities for Hanover Insurance and Aspira Womens
-0.82 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Hanover and Aspira is -0.82. Overlapping area represents the amount of risk that can be diversified away by holding The Hanover Insurance and Aspira Womens Health in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aspira Womens Health 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 Aspira Womens. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aspira Womens Health has no effect on the direction of Hanover Insurance i.e., Hanover Insurance and Aspira Womens go up and down completely randomly.
Pair Corralation between Hanover Insurance and Aspira Womens
Considering the 90-day investment horizon The Hanover Insurance is expected to generate 0.19 times more return on investment than Aspira Womens. However, The Hanover Insurance is 5.17 times less risky than Aspira Womens. It trades about 0.11 of its potential returns per unit of risk. Aspira Womens Health is currently generating about -0.38 per unit of risk. If you would invest 15,518 in The Hanover Insurance on December 25, 2024 and sell it today you would earn a total of 1,487 from holding The Hanover Insurance or generate 9.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
The Hanover Insurance vs. Aspira Womens Health
Performance |
Timeline |
Hanover Insurance |
Aspira Womens Health |
Hanover Insurance and Aspira Womens Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hanover Insurance and Aspira Womens
The main advantage of trading using opposite Hanover Insurance and Aspira Womens positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hanover Insurance position performs unexpectedly, Aspira Womens 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 Aspira Womens will offset losses from the drop in Aspira Womens' long position.Hanover Insurance vs. Horace Mann Educators | Hanover Insurance vs. Kemper | Hanover Insurance vs. RLI Corp | Hanover Insurance vs. Global Indemnity PLC |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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