Correlation Between Hanover Insurance and Lemonade
Can any of the company-specific risk be diversified away by investing in both Hanover Insurance and Lemonade 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 Lemonade 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 Lemonade, you can compare the effects of market volatilities on Hanover Insurance and Lemonade 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 Lemonade. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hanover Insurance and Lemonade.
Diversification Opportunities for Hanover Insurance and Lemonade
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Hanover and Lemonade is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding The Hanover Insurance and Lemonade in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lemonade 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 Lemonade. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lemonade has no effect on the direction of Hanover Insurance i.e., Hanover Insurance and Lemonade go up and down completely randomly.
Pair Corralation between Hanover Insurance and Lemonade
Considering the 90-day investment horizon Hanover Insurance is expected to generate 9.22 times less return on investment than Lemonade. But when comparing it to its historical volatility, The Hanover Insurance is 4.87 times less risky than Lemonade. It trades about 0.16 of its potential returns per unit of risk. Lemonade is currently generating about 0.3 of returns per unit of risk over similar time horizon. If you would invest 1,833 in Lemonade on September 2, 2024 and sell it today you would earn a total of 3,348 from holding Lemonade or generate 182.65% 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. Lemonade
Performance |
Timeline |
Hanover Insurance |
Lemonade |
Hanover Insurance and Lemonade Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hanover Insurance and Lemonade
The main advantage of trading using opposite Hanover Insurance and Lemonade positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hanover Insurance position performs unexpectedly, Lemonade 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 Lemonade will offset losses from the drop in Lemonade's long position.Hanover Insurance vs. Selective Insurance Group | Hanover Insurance vs. Aquagold International | Hanover Insurance vs. Thrivent High Yield | Hanover Insurance vs. Morningstar Unconstrained Allocation |
Lemonade vs. Fiverr International | Lemonade vs. Pinterest | Lemonade vs. Upstart Holdings | Lemonade vs. Fastly Inc |
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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