Correlation Between Hanover Insurance and USWE SPORTS
Can any of the company-specific risk be diversified away by investing in both Hanover Insurance and USWE SPORTS 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 USWE SPORTS 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 USWE SPORTS AB, you can compare the effects of market volatilities on Hanover Insurance and USWE SPORTS 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 USWE SPORTS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hanover Insurance and USWE SPORTS.
Diversification Opportunities for Hanover Insurance and USWE SPORTS
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Hanover and USWE is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding The Hanover Insurance and USWE SPORTS AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on USWE SPORTS AB 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 USWE SPORTS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of USWE SPORTS AB has no effect on the direction of Hanover Insurance i.e., Hanover Insurance and USWE SPORTS go up and down completely randomly.
Pair Corralation between Hanover Insurance and USWE SPORTS
Assuming the 90 days horizon Hanover Insurance is expected to generate 1.44 times less return on investment than USWE SPORTS. But when comparing it to its historical volatility, The Hanover Insurance is 1.54 times less risky than USWE SPORTS. It trades about 0.16 of its potential returns per unit of risk. USWE SPORTS AB is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 75.00 in USWE SPORTS AB on November 8, 2024 and sell it today you would earn a total of 7.00 from holding USWE SPORTS AB or generate 9.33% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 95.65% |
| Values | Daily Returns |
The Hanover Insurance vs. USWE SPORTS AB
Performance |
| Timeline |
| Hanover Insurance |
| USWE SPORTS AB |
Hanover Insurance and USWE SPORTS Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Hanover Insurance and USWE SPORTS
The main advantage of trading using opposite Hanover Insurance and USWE SPORTS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hanover Insurance position performs unexpectedly, USWE SPORTS 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 USWE SPORTS will offset losses from the drop in USWE SPORTS's long position.| Hanover Insurance vs. GALENA MINING LTD | Hanover Insurance vs. GRIFFIN MINING LTD | Hanover Insurance vs. URBAN OUTFITTERS | Hanover Insurance vs. Aya Gold Silver |
| USWE SPORTS vs. Transport International Holdings | USWE SPORTS vs. Penn National Gaming | USWE SPORTS vs. Fukuyama Transporting Co | USWE SPORTS vs. PLAYMATES TOYS |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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