Correlation Between Horace Mann and Conifer Holding
Can any of the company-specific risk be diversified away by investing in both Horace Mann and Conifer Holding 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 Horace Mann and Conifer Holding into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Horace Mann Educators and Conifer Holding, you can compare the effects of market volatilities on Horace Mann and Conifer Holding 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 Horace Mann with a short position of Conifer Holding. Check out your portfolio center. Please also check ongoing floating volatility patterns of Horace Mann and Conifer Holding.
Diversification Opportunities for Horace Mann and Conifer Holding
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between Horace and Conifer is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding Horace Mann Educators and Conifer Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Conifer Holding and Horace Mann 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 Horace Mann Educators are associated (or correlated) with Conifer Holding. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Conifer Holding has no effect on the direction of Horace Mann i.e., Horace Mann and Conifer Holding go up and down completely randomly.
Pair Corralation between Horace Mann and Conifer Holding
Considering the 90-day investment horizon Horace Mann Educators is expected to generate 0.31 times more return on investment than Conifer Holding. However, Horace Mann Educators is 3.18 times less risky than Conifer Holding. It trades about 0.13 of its potential returns per unit of risk. Conifer Holding is currently generating about -0.03 per unit of risk. If you would invest 3,559 in Horace Mann Educators on September 4, 2024 and sell it today you would earn a total of 553.00 from holding Horace Mann Educators or generate 15.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Horace Mann Educators vs. Conifer Holding
Performance |
Timeline |
Horace Mann Educators |
Conifer Holding |
Horace Mann and Conifer Holding Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Horace Mann and Conifer Holding
The main advantage of trading using opposite Horace Mann and Conifer Holding positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Horace Mann position performs unexpectedly, Conifer Holding 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 Conifer Holding will offset losses from the drop in Conifer Holding's long position.Horace Mann vs. Kemper | Horace Mann vs. RLI Corp | Horace Mann vs. Global Indemnity PLC | Horace Mann vs. Argo Group International |
Conifer Holding vs. Wilhelmina | Conifer Holding vs. Unico American | Conifer Holding vs. Creative Media Community | Conifer Holding vs. Kingstone Companies |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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