Correlation Between CNA Financial and Goosehead Insurance
Can any of the company-specific risk be diversified away by investing in both CNA Financial and Goosehead 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 CNA Financial and Goosehead Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CNA Financial and Goosehead Insurance, you can compare the effects of market volatilities on CNA Financial and Goosehead 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 CNA Financial with a short position of Goosehead Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of CNA Financial and Goosehead Insurance.
Diversification Opportunities for CNA Financial and Goosehead Insurance
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between CNA and Goosehead is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding CNA Financial and Goosehead Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goosehead Insurance and CNA Financial 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 CNA Financial are associated (or correlated) with Goosehead Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goosehead Insurance has no effect on the direction of CNA Financial i.e., CNA Financial and Goosehead Insurance go up and down completely randomly.
Pair Corralation between CNA Financial and Goosehead Insurance
Considering the 90-day investment horizon CNA Financial is expected to generate 1.19 times less return on investment than Goosehead Insurance. But when comparing it to its historical volatility, CNA Financial is 2.14 times less risky than Goosehead Insurance. It trades about 0.1 of its potential returns per unit of risk. Goosehead Insurance is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 10,769 in Goosehead Insurance on October 20, 2024 and sell it today you would earn a total of 266.00 from holding Goosehead Insurance or generate 2.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CNA Financial vs. Goosehead Insurance
Performance |
Timeline |
CNA Financial |
Goosehead Insurance |
CNA Financial and Goosehead Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CNA Financial and Goosehead Insurance
The main advantage of trading using opposite CNA Financial and Goosehead Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CNA Financial position performs unexpectedly, Goosehead 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 Goosehead Insurance will offset losses from the drop in Goosehead Insurance's long position.CNA Financial vs. Selective Insurance Group | CNA Financial vs. Kemper | CNA Financial vs. Donegal Group B | CNA Financial vs. Argo Group International |
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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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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