Correlation Between HANOVER INSURANCE and Event Hospitality
Can any of the company-specific risk be diversified away by investing in both HANOVER INSURANCE and Event Hospitality 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 Event Hospitality into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between HANOVER INSURANCE and Event Hospitality and, you can compare the effects of market volatilities on HANOVER INSURANCE and Event Hospitality 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 Event Hospitality. Check out your portfolio center. Please also check ongoing floating volatility patterns of HANOVER INSURANCE and Event Hospitality.
Diversification Opportunities for HANOVER INSURANCE and Event Hospitality
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between HANOVER and Event is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding HANOVER INSURANCE and Event Hospitality and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Event Hospitality 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 Event Hospitality. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Event Hospitality has no effect on the direction of HANOVER INSURANCE i.e., HANOVER INSURANCE and Event Hospitality go up and down completely randomly.
Pair Corralation between HANOVER INSURANCE and Event Hospitality
Assuming the 90 days trading horizon HANOVER INSURANCE is expected to generate 0.99 times more return on investment than Event Hospitality. However, HANOVER INSURANCE is 1.01 times less risky than Event Hospitality. It trades about 0.09 of its potential returns per unit of risk. Event Hospitality and is currently generating about -0.04 per unit of risk. If you would invest 13,815 in HANOVER INSURANCE on September 22, 2024 and sell it today you would earn a total of 785.00 from holding HANOVER INSURANCE or generate 5.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 97.78% |
Values | Daily Returns |
HANOVER INSURANCE vs. Event Hospitality and
Performance |
Timeline |
HANOVER INSURANCE |
Event Hospitality |
HANOVER INSURANCE and Event Hospitality Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with HANOVER INSURANCE and Event Hospitality
The main advantage of trading using opposite HANOVER INSURANCE and Event Hospitality positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HANOVER INSURANCE position performs unexpectedly, Event Hospitality 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 Event Hospitality will offset losses from the drop in Event Hospitality's long position.HANOVER INSURANCE vs. G III Apparel Group | HANOVER INSURANCE vs. American Eagle Outfitters | HANOVER INSURANCE vs. TFS FINANCIAL | HANOVER INSURANCE vs. URBAN OUTFITTERS |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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