Correlation Between Kingstone Companies and Horace Mann
Can any of the company-specific risk be diversified away by investing in both Kingstone Companies and Horace Mann 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 Kingstone Companies and Horace Mann into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kingstone Companies and Horace Mann Educators, you can compare the effects of market volatilities on Kingstone Companies and Horace Mann 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 Kingstone Companies with a short position of Horace Mann. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kingstone Companies and Horace Mann.
Diversification Opportunities for Kingstone Companies and Horace Mann
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Kingstone and Horace is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Kingstone Companies and Horace Mann Educators in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Horace Mann Educators and Kingstone Companies 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 Kingstone Companies are associated (or correlated) with Horace Mann. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Horace Mann Educators has no effect on the direction of Kingstone Companies i.e., Kingstone Companies and Horace Mann go up and down completely randomly.
Pair Corralation between Kingstone Companies and Horace Mann
Given the investment horizon of 90 days Kingstone Companies is expected to generate 3.26 times more return on investment than Horace Mann. However, Kingstone Companies is 3.26 times more volatile than Horace Mann Educators. It trades about 0.13 of its potential returns per unit of risk. Horace Mann Educators is currently generating about 0.05 per unit of risk. If you would invest 128.00 in Kingstone Companies on December 2, 2024 and sell it today you would earn a total of 1,478 from holding Kingstone Companies or generate 1154.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kingstone Companies vs. Horace Mann Educators
Performance |
Timeline |
Kingstone Companies |
Horace Mann Educators |
Kingstone Companies and Horace Mann Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kingstone Companies and Horace Mann
The main advantage of trading using opposite Kingstone Companies and Horace Mann positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kingstone Companies position performs unexpectedly, Horace Mann 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 Horace Mann will offset losses from the drop in Horace Mann's long position.Kingstone Companies vs. HCI Group | Kingstone Companies vs. Universal Insurance Holdings | Kingstone Companies vs. Horace Mann Educators | Kingstone Companies vs. Heritage Insurance Hldgs |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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