Correlation Between Pekin Life and Hanover Insurance
Can any of the company-specific risk be diversified away by investing in both Pekin Life 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 Pekin Life and Hanover Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pekin Life Insurance and The Hanover Insurance, you can compare the effects of market volatilities on Pekin Life 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 Pekin Life with a short position of Hanover Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pekin Life and Hanover Insurance.
Diversification Opportunities for Pekin Life and Hanover Insurance
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Pekin and Hanover is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Pekin Life Insurance and The Hanover Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hanover Insurance and Pekin Life 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 Pekin Life Insurance 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 Pekin Life i.e., Pekin Life and Hanover Insurance go up and down completely randomly.
Pair Corralation between Pekin Life and Hanover Insurance
Given the investment horizon of 90 days Pekin Life is expected to generate 4.46 times less return on investment than Hanover Insurance. In addition to that, Pekin Life is 1.27 times more volatile than The Hanover Insurance. It trades about 0.01 of its total potential returns per unit of risk. The Hanover Insurance is currently generating about 0.03 per unit of volatility. If you would invest 13,509 in The Hanover Insurance on August 24, 2024 and sell it today you would earn a total of 2,765 from holding The Hanover Insurance or generate 20.47% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Pekin Life Insurance vs. The Hanover Insurance
Performance |
| Timeline |
| Pekin Life Insurance |
| Hanover Insurance |
Pekin Life and Hanover Insurance Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Pekin Life and Hanover Insurance
The main advantage of trading using opposite Pekin Life and Hanover Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pekin Life 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.| Pekin Life vs. Pioneer Floating Rate | Pekin Life vs. The Gabelli Equity | Pekin Life vs. Pioneer Municipal High | Pekin Life vs. Nuveen Global High |
| Hanover Insurance vs. Horace Mann Educators | Hanover Insurance vs. Kemper | Hanover Insurance vs. RLI Corp | Hanover Insurance vs. Global Indemnity PLC |
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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