Correlation Between HANOVER INSURANCE and United Overseas
Can any of the company-specific risk be diversified away by investing in both HANOVER INSURANCE and United Overseas 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 United Overseas into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between HANOVER INSURANCE and United Overseas Bank, you can compare the effects of market volatilities on HANOVER INSURANCE and United Overseas 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 United Overseas. Check out your portfolio center. Please also check ongoing floating volatility patterns of HANOVER INSURANCE and United Overseas.
Diversification Opportunities for HANOVER INSURANCE and United Overseas
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between HANOVER and United is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding HANOVER INSURANCE and United Overseas Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United Overseas Bank 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 HANOVER INSURANCE are associated (or correlated) with United Overseas. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United Overseas Bank has no effect on the direction of HANOVER INSURANCE i.e., HANOVER INSURANCE and United Overseas go up and down completely randomly.
Pair Corralation between HANOVER INSURANCE and United Overseas
Assuming the 90 days trading horizon HANOVER INSURANCE is expected to under-perform the United Overseas. In addition to that, HANOVER INSURANCE is 1.42 times more volatile than United Overseas Bank. It trades about -0.03 of its total potential returns per unit of risk. United Overseas Bank is currently generating about 0.09 per unit of volatility. If you would invest 2,648 in United Overseas Bank on October 11, 2024 and sell it today you would earn a total of 41.00 from holding United Overseas Bank or generate 1.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 94.44% |
Values | Daily Returns |
HANOVER INSURANCE vs. United Overseas Bank
Performance |
Timeline |
HANOVER INSURANCE |
United Overseas Bank |
HANOVER INSURANCE and United Overseas Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with HANOVER INSURANCE and United Overseas
The main advantage of trading using opposite HANOVER INSURANCE and United Overseas positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HANOVER INSURANCE position performs unexpectedly, United Overseas 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 United Overseas will offset losses from the drop in United Overseas' long position.HANOVER INSURANCE vs. NAGOYA RAILROAD | HANOVER INSURANCE vs. Broadcom | HANOVER INSURANCE vs. H2O Retailing | HANOVER INSURANCE vs. Fast Retailing Co |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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