Correlation Between STMicroelectronics and Hanover Insurance
Can any of the company-specific risk be diversified away by investing in both STMicroelectronics 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 STMicroelectronics and Hanover Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between STMicroelectronics NV and The Hanover Insurance, you can compare the effects of market volatilities on STMicroelectronics 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 STMicroelectronics with a short position of Hanover Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of STMicroelectronics and Hanover Insurance.
Diversification Opportunities for STMicroelectronics and Hanover Insurance
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between STMicroelectronics and Hanover is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding STMicroelectronics NV and The Hanover Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hanover Insurance and STMicroelectronics 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 STMicroelectronics NV 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 STMicroelectronics i.e., STMicroelectronics and Hanover Insurance go up and down completely randomly.
Pair Corralation between STMicroelectronics and Hanover Insurance
Assuming the 90 days trading horizon STMicroelectronics NV is expected to generate 9.81 times more return on investment than Hanover Insurance. However, STMicroelectronics is 9.81 times more volatile than The Hanover Insurance. It trades about 0.24 of its potential returns per unit of risk. The Hanover Insurance is currently generating about 0.13 per unit of risk. If you would invest 11,885 in STMicroelectronics NV on April 20, 2025 and sell it today you would earn a total of 5,647 from holding STMicroelectronics NV or generate 47.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
STMicroelectronics NV vs. The Hanover Insurance
Performance |
Timeline |
STMicroelectronics |
Hanover Insurance |
STMicroelectronics and Hanover Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with STMicroelectronics and Hanover Insurance
The main advantage of trading using opposite STMicroelectronics and Hanover Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if STMicroelectronics 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.STMicroelectronics vs. Rbr Top Offices | STMicroelectronics vs. Taiwan Semiconductor Manufacturing | STMicroelectronics vs. Hormel Foods | STMicroelectronics vs. Tyson Foods |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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