Correlation Between TRAVEL + and HANOVER INSURANCE
Can any of the company-specific risk be diversified away by investing in both TRAVEL + and HANOVER INSURANCE 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 TRAVEL + and HANOVER INSURANCE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TRAVEL LEISURE DL 01 and HANOVER INSURANCE, you can compare the effects of market volatilities on TRAVEL + and HANOVER INSURANCE 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 TRAVEL + with a short position of HANOVER INSURANCE. Check out your portfolio center. Please also check ongoing floating volatility patterns of TRAVEL + and HANOVER INSURANCE.
Diversification Opportunities for TRAVEL + and HANOVER INSURANCE
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between TRAVEL and HANOVER is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding TRAVEL LEISURE DL 01 and HANOVER INSURANCE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HANOVER INSURANCE and TRAVEL + 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 TRAVEL LEISURE DL 01 are associated (or correlated) with HANOVER INSURANCE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HANOVER INSURANCE has no effect on the direction of TRAVEL + i.e., TRAVEL + and HANOVER INSURANCE go up and down completely randomly.
Pair Corralation between TRAVEL + and HANOVER INSURANCE
Assuming the 90 days trading horizon TRAVEL LEISURE DL 01 is expected to generate 1.18 times more return on investment than HANOVER INSURANCE. However, TRAVEL + is 1.18 times more volatile than HANOVER INSURANCE. It trades about 0.26 of its potential returns per unit of risk. HANOVER INSURANCE is currently generating about 0.01 per unit of risk. If you would invest 3,737 in TRAVEL LEISURE DL 01 on April 24, 2025 and sell it today you would earn a total of 1,163 from holding TRAVEL LEISURE DL 01 or generate 31.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
TRAVEL LEISURE DL 01 vs. HANOVER INSURANCE
Performance |
Timeline |
TRAVEL LEISURE DL |
HANOVER INSURANCE |
TRAVEL + and HANOVER INSURANCE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with TRAVEL + and HANOVER INSURANCE
The main advantage of trading using opposite TRAVEL + and HANOVER INSURANCE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TRAVEL + position performs unexpectedly, HANOVER INSURANCE 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 HANOVER INSURANCE will offset losses from the drop in HANOVER INSURANCE's long position.TRAVEL + vs. Gaming and Leisure | TRAVEL + vs. USWE SPORTS AB | TRAVEL + vs. Tower Semiconductor | TRAVEL + vs. PLAYWAY SA ZY 10 |
HANOVER INSURANCE vs. GOLDQUEST MINING | HANOVER INSURANCE vs. GOLDGROUP MINING INC | HANOVER INSURANCE vs. Ribbon Communications | HANOVER INSURANCE vs. Zhaojin Mining Industry |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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