Correlation Between Hartford Healthcare and Copeland Smid
Can any of the company-specific risk be diversified away by investing in both Hartford Healthcare and Copeland Smid 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 Healthcare and Copeland Smid into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hartford Healthcare Hls and Copeland Smid Cap, you can compare the effects of market volatilities on Hartford Healthcare and Copeland Smid 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 Healthcare with a short position of Copeland Smid. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hartford Healthcare and Copeland Smid.
Diversification Opportunities for Hartford Healthcare and Copeland Smid
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Hartford and Copeland is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Hartford Healthcare Hls and Copeland Smid Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Copeland Smid Cap and Hartford Healthcare 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 Healthcare Hls are associated (or correlated) with Copeland Smid. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Copeland Smid Cap has no effect on the direction of Hartford Healthcare i.e., Hartford Healthcare and Copeland Smid go up and down completely randomly.
Pair Corralation between Hartford Healthcare and Copeland Smid
Assuming the 90 days horizon Hartford Healthcare Hls is expected to generate 0.8 times more return on investment than Copeland Smid. However, Hartford Healthcare Hls is 1.25 times less risky than Copeland Smid. It trades about -0.25 of its potential returns per unit of risk. Copeland Smid Cap is currently generating about -0.43 per unit of risk. If you would invest 1,724 in Hartford Healthcare Hls on October 9, 2024 and sell it today you would lose (66.00) from holding Hartford Healthcare Hls or give up 3.83% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Hartford Healthcare Hls vs. Copeland Smid Cap
Performance |
Timeline |
Hartford Healthcare Hls |
Copeland Smid Cap |
Hartford Healthcare and Copeland Smid Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hartford Healthcare and Copeland Smid
The main advantage of trading using opposite Hartford Healthcare and Copeland Smid positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hartford Healthcare position performs unexpectedly, Copeland Smid 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 Copeland Smid will offset losses from the drop in Copeland Smid's long position.Hartford Healthcare vs. Mainstay Vertible Fund | Hartford Healthcare vs. Virtus Convertible | Hartford Healthcare vs. Lord Abbett Vertible | Hartford Healthcare vs. Fidelity Vertible Securities |
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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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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