Correlation Between CNA Financial and HCI
Can any of the company-specific risk be diversified away by investing in both CNA Financial and HCI 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 HCI into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CNA Financial and HCI Group, you can compare the effects of market volatilities on CNA Financial and HCI 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 HCI. Check out your portfolio center. Please also check ongoing floating volatility patterns of CNA Financial and HCI.
Diversification Opportunities for CNA Financial and HCI
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between CNA and HCI is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding CNA Financial and HCI Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HCI Group 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 HCI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HCI Group has no effect on the direction of CNA Financial i.e., CNA Financial and HCI go up and down completely randomly.
Pair Corralation between CNA Financial and HCI
Considering the 90-day investment horizon CNA Financial is expected to generate 1.54 times less return on investment than HCI. But when comparing it to its historical volatility, CNA Financial is 1.18 times less risky than HCI. It trades about 0.28 of its potential returns per unit of risk. HCI Group is currently generating about 0.36 of returns per unit of risk over similar time horizon. If you would invest 11,055 in HCI Group on November 10, 2024 and sell it today you would earn a total of 1,196 from holding HCI Group or generate 10.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CNA Financial vs. HCI Group
Performance |
Timeline |
CNA Financial |
HCI Group |
CNA Financial and HCI Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CNA Financial and HCI
The main advantage of trading using opposite CNA Financial and HCI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CNA Financial position performs unexpectedly, HCI 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 HCI will offset losses from the drop in HCI'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 |
HCI vs. Universal Insurance Holdings | HCI vs. Kingstone Companies | HCI vs. Horace Mann Educators | HCI 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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
Other Complementary Tools
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges |