Correlation Between Erie Indemnity and Willis Towers
Can any of the company-specific risk be diversified away by investing in both Erie Indemnity and Willis Towers 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 Erie Indemnity and Willis Towers into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Erie Indemnity and Willis Towers Watson, you can compare the effects of market volatilities on Erie Indemnity and Willis Towers 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 Erie Indemnity with a short position of Willis Towers. Check out your portfolio center. Please also check ongoing floating volatility patterns of Erie Indemnity and Willis Towers.
Diversification Opportunities for Erie Indemnity and Willis Towers
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Erie and Willis is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding Erie Indemnity and Willis Towers Watson in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Willis Towers Watson and Erie Indemnity 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 Erie Indemnity are associated (or correlated) with Willis Towers. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Willis Towers Watson has no effect on the direction of Erie Indemnity i.e., Erie Indemnity and Willis Towers go up and down completely randomly.
Pair Corralation between Erie Indemnity and Willis Towers
Given the investment horizon of 90 days Erie Indemnity is expected to under-perform the Willis Towers. In addition to that, Erie Indemnity is 1.25 times more volatile than Willis Towers Watson. It trades about -0.01 of its total potential returns per unit of risk. Willis Towers Watson is currently generating about 0.09 per unit of volatility. If you would invest 30,510 in Willis Towers Watson on May 7, 2025 and sell it today you would earn a total of 1,940 from holding Willis Towers Watson or generate 6.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Erie Indemnity vs. Willis Towers Watson
Performance |
Timeline |
Erie Indemnity |
Willis Towers Watson |
Erie Indemnity and Willis Towers Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Erie Indemnity and Willis Towers
The main advantage of trading using opposite Erie Indemnity and Willis Towers positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Erie Indemnity position performs unexpectedly, Willis Towers 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 Willis Towers will offset losses from the drop in Willis Towers' long position.Erie Indemnity vs. CorVel Corp | Erie Indemnity vs. Brown Brown | Erie Indemnity vs. Arthur J Gallagher | Erie Indemnity vs. The Baldwin Insurance |
Willis Towers vs. Aon PLC | Willis Towers vs. Marsh McLennan Companies | Willis Towers vs. Arthur J Gallagher | Willis Towers vs. Brown Brown |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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