Correlation Between Hanover Insurance and Penn National
Can any of the company-specific risk be diversified away by investing in both Hanover Insurance and Penn National 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 Penn National 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 Penn National Gaming, you can compare the effects of market volatilities on Hanover Insurance and Penn National 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 Penn National. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hanover Insurance and Penn National.
Diversification Opportunities for Hanover Insurance and Penn National
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Hanover and Penn is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding The Hanover Insurance and Penn National Gaming in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Penn National Gaming 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 Penn National. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Penn National Gaming has no effect on the direction of Hanover Insurance i.e., Hanover Insurance and Penn National go up and down completely randomly.
Pair Corralation between Hanover Insurance and Penn National
Assuming the 90 days horizon Hanover Insurance is expected to generate 1.14 times less return on investment than Penn National. But when comparing it to its historical volatility, The Hanover Insurance is 1.74 times less risky than Penn National. It trades about 0.14 of its potential returns per unit of risk. Penn National Gaming is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 1,637 in Penn National Gaming on September 13, 2024 and sell it today you would earn a total of 234.00 from holding Penn National Gaming or generate 14.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
The Hanover Insurance vs. Penn National Gaming
Performance |
Timeline |
Hanover Insurance |
Penn National Gaming |
Hanover Insurance and Penn National Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hanover Insurance and Penn National
The main advantage of trading using opposite Hanover Insurance and Penn National positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hanover Insurance position performs unexpectedly, Penn National 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 Penn National will offset losses from the drop in Penn National's long position.Hanover Insurance vs. The Peoples Insurance | Hanover Insurance vs. W R Berkley | Hanover Insurance vs. ZhongAn Online P |
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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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
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