Correlation Between Hartford Financial and CNA Financial
Can any of the company-specific risk be diversified away by investing in both Hartford Financial and CNA Financial 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 Hartford Financial and CNA Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hartford Financial Services and CNA Financial, you can compare the effects of market volatilities on Hartford Financial and CNA Financial 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 Hartford Financial with a short position of CNA Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hartford Financial and CNA Financial.
Diversification Opportunities for Hartford Financial and CNA Financial
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Hartford and CNA is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Hartford Financial Services and CNA Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CNA Financial and Hartford 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 Hartford Financial Services are associated (or correlated) with CNA Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CNA Financial has no effect on the direction of Hartford Financial i.e., Hartford Financial and CNA Financial go up and down completely randomly.
Pair Corralation between Hartford Financial and CNA Financial
Considering the 90-day investment horizon Hartford Financial Services is expected to generate 1.09 times more return on investment than CNA Financial. However, Hartford Financial is 1.09 times more volatile than CNA Financial. It trades about 0.06 of its potential returns per unit of risk. CNA Financial is currently generating about -0.03 per unit of risk. If you would invest 11,551 in Hartford Financial Services on September 4, 2024 and sell it today you would earn a total of 571.00 from holding Hartford Financial Services or generate 4.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Hartford Financial Services vs. CNA Financial
Performance |
Timeline |
Hartford Financial |
CNA Financial |
Hartford Financial and CNA Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hartford Financial and CNA Financial
The main advantage of trading using opposite Hartford Financial and CNA Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hartford Financial position performs unexpectedly, CNA Financial 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 CNA Financial will offset losses from the drop in CNA Financial's long position.Hartford Financial vs. Goosehead Insurance | Hartford Financial vs. International General Insurance | Hartford Financial vs. Enstar Group Limited | Hartford Financial vs. Arch Capital Group |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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