Correlation Between CNA Financial and Universal Insurance
Can any of the company-specific risk be diversified away by investing in both CNA Financial and Universal 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 Universal 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 Universal Insurance Holdings, you can compare the effects of market volatilities on CNA Financial and Universal 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 Universal Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of CNA Financial and Universal Insurance.
Diversification Opportunities for CNA Financial and Universal Insurance
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between CNA and Universal is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding CNA Financial and Universal Insurance Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Universal 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 Universal Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Universal Insurance has no effect on the direction of CNA Financial i.e., CNA Financial and Universal Insurance go up and down completely randomly.
Pair Corralation between CNA Financial and Universal Insurance
Considering the 90-day investment horizon CNA Financial is expected to generate 0.69 times more return on investment than Universal Insurance. However, CNA Financial is 1.46 times less risky than Universal Insurance. It trades about -0.03 of its potential returns per unit of risk. Universal Insurance Holdings is currently generating about -0.03 per unit of risk. If you would invest 4,997 in CNA Financial on November 29, 2024 and sell it today you would lose (146.50) from holding CNA Financial or give up 2.93% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CNA Financial vs. Universal Insurance Holdings
Performance |
Timeline |
CNA Financial |
Universal Insurance |
CNA Financial and Universal Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CNA Financial and Universal Insurance
The main advantage of trading using opposite CNA Financial and Universal Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CNA Financial position performs unexpectedly, Universal 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 Universal Insurance will offset losses from the drop in Universal 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 |
Universal Insurance vs. HCI Group | Universal Insurance vs. Kingstone Companies | Universal Insurance vs. Horace Mann Educators | Universal Insurance vs. Heritage Insurance Hldgs |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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