Correlation Between HANOVER INSURANCE and Cogent Communications
Can any of the company-specific risk be diversified away by investing in both HANOVER INSURANCE and Cogent Communications 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 Cogent Communications into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between HANOVER INSURANCE and Cogent Communications Holdings, you can compare the effects of market volatilities on HANOVER INSURANCE and Cogent Communications 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 Cogent Communications. Check out your portfolio center. Please also check ongoing floating volatility patterns of HANOVER INSURANCE and Cogent Communications.
Diversification Opportunities for HANOVER INSURANCE and Cogent Communications
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between HANOVER and Cogent is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding HANOVER INSURANCE and Cogent Communications Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cogent Communications 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 Cogent Communications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cogent Communications has no effect on the direction of HANOVER INSURANCE i.e., HANOVER INSURANCE and Cogent Communications go up and down completely randomly.
Pair Corralation between HANOVER INSURANCE and Cogent Communications
Assuming the 90 days trading horizon HANOVER INSURANCE is expected to generate 0.76 times more return on investment than Cogent Communications. However, HANOVER INSURANCE is 1.32 times less risky than Cogent Communications. It trades about 0.11 of its potential returns per unit of risk. Cogent Communications Holdings is currently generating about -0.16 per unit of risk. If you would invest 14,519 in HANOVER INSURANCE on December 30, 2024 and sell it today you would earn a total of 1,581 from holding HANOVER INSURANCE or generate 10.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
HANOVER INSURANCE vs. Cogent Communications Holdings
Performance |
Timeline |
HANOVER INSURANCE |
Cogent Communications |
HANOVER INSURANCE and Cogent Communications Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with HANOVER INSURANCE and Cogent Communications
The main advantage of trading using opposite HANOVER INSURANCE and Cogent Communications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HANOVER INSURANCE position performs unexpectedly, Cogent Communications 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 Cogent Communications will offset losses from the drop in Cogent Communications' long position.HANOVER INSURANCE vs. alstria office REIT AG | HANOVER INSURANCE vs. H2O Retailing | HANOVER INSURANCE vs. SIDETRADE EO 1 | HANOVER INSURANCE vs. Canon Marketing Japan |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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