Correlation Between Hanover Insurance and EAST SIDE
Can any of the company-specific risk be diversified away by investing in both Hanover Insurance and EAST SIDE 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 EAST SIDE 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 EAST SIDE GAMES, you can compare the effects of market volatilities on Hanover Insurance and EAST SIDE 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 EAST SIDE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hanover Insurance and EAST SIDE.
Diversification Opportunities for Hanover Insurance and EAST SIDE
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Hanover and EAST is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding The Hanover Insurance and EAST SIDE GAMES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EAST SIDE GAMES 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 EAST SIDE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of EAST SIDE GAMES has no effect on the direction of Hanover Insurance i.e., Hanover Insurance and EAST SIDE go up and down completely randomly.
Pair Corralation between Hanover Insurance and EAST SIDE
Assuming the 90 days horizon The Hanover Insurance is expected to generate 0.24 times more return on investment than EAST SIDE. However, The Hanover Insurance is 4.24 times less risky than EAST SIDE. It trades about 0.11 of its potential returns per unit of risk. EAST SIDE GAMES is currently generating about -0.06 per unit of risk. If you would invest 13,516 in The Hanover Insurance on October 26, 2024 and sell it today you would earn a total of 1,284 from holding The Hanover Insurance or generate 9.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
The Hanover Insurance vs. EAST SIDE GAMES
Performance |
Timeline |
Hanover Insurance |
EAST SIDE GAMES |
Hanover Insurance and EAST SIDE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hanover Insurance and EAST SIDE
The main advantage of trading using opposite Hanover Insurance and EAST SIDE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hanover Insurance position performs unexpectedly, EAST SIDE 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 EAST SIDE will offset losses from the drop in EAST SIDE's long position.Hanover Insurance vs. Tokio Marine Holdings | Hanover Insurance vs. The Peoples Insurance | Hanover Insurance vs. Loews Corp | Hanover Insurance vs. American Financial Group |
EAST SIDE vs. GRENKELEASING Dusseldorf | EAST SIDE vs. Advanced Medical Solutions | EAST SIDE vs. PULSION Medical Systems | EAST SIDE vs. Genertec Universal Medical |
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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