Correlation Between HANOVER INSURANCE and Evolution Mining
Can any of the company-specific risk be diversified away by investing in both HANOVER INSURANCE and Evolution Mining 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 Evolution Mining into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between HANOVER INSURANCE and Evolution Mining Limited, you can compare the effects of market volatilities on HANOVER INSURANCE and Evolution Mining 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 Evolution Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of HANOVER INSURANCE and Evolution Mining.
Diversification Opportunities for HANOVER INSURANCE and Evolution Mining
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between HANOVER and Evolution is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding HANOVER INSURANCE and Evolution Mining Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Evolution Mining 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 Evolution Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Evolution Mining has no effect on the direction of HANOVER INSURANCE i.e., HANOVER INSURANCE and Evolution Mining go up and down completely randomly.
Pair Corralation between HANOVER INSURANCE and Evolution Mining
Assuming the 90 days trading horizon HANOVER INSURANCE is expected to generate 0.66 times more return on investment than Evolution Mining. However, HANOVER INSURANCE is 1.52 times less risky than Evolution Mining. It trades about 0.14 of its potential returns per unit of risk. Evolution Mining Limited is currently generating about 0.05 per unit of risk. If you would invest 12,920 in HANOVER INSURANCE on September 22, 2024 and sell it today you would earn a total of 1,680 from holding HANOVER INSURANCE or generate 13.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
HANOVER INSURANCE vs. Evolution Mining Limited
Performance |
Timeline |
HANOVER INSURANCE |
Evolution Mining |
HANOVER INSURANCE and Evolution Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with HANOVER INSURANCE and Evolution Mining
The main advantage of trading using opposite HANOVER INSURANCE and Evolution Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HANOVER INSURANCE position performs unexpectedly, Evolution Mining 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 Evolution Mining will offset losses from the drop in Evolution Mining's long position.HANOVER INSURANCE vs. GRIFFIN MINING LTD | HANOVER INSURANCE vs. Aegean Airlines SA | HANOVER INSURANCE vs. MCEWEN MINING INC | HANOVER INSURANCE vs. SOUTHWEST AIRLINES |
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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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