Correlation Between Hartford Healthcare and Schwab Health
Can any of the company-specific risk be diversified away by investing in both Hartford Healthcare and Schwab Health 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 Schwab Health 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 Schwab Health Care, you can compare the effects of market volatilities on Hartford Healthcare and Schwab Health 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 Schwab Health. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hartford Healthcare and Schwab Health.
Diversification Opportunities for Hartford Healthcare and Schwab Health
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Hartford and Schwab is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Hartford Healthcare Hls and Schwab Health Care in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Schwab Health Care 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 Schwab Health. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Schwab Health Care has no effect on the direction of Hartford Healthcare i.e., Hartford Healthcare and Schwab Health go up and down completely randomly.
Pair Corralation between Hartford Healthcare and Schwab Health
Assuming the 90 days horizon Hartford Healthcare Hls is expected to generate 1.02 times more return on investment than Schwab Health. However, Hartford Healthcare is 1.02 times more volatile than Schwab Health Care. It trades about -0.02 of its potential returns per unit of risk. Schwab Health Care is currently generating about -0.03 per unit of risk. If you would invest 1,555 in Hartford Healthcare Hls on May 7, 2025 and sell it today you would lose (24.00) from holding Hartford Healthcare Hls or give up 1.54% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.39% |
Values | Daily Returns |
Hartford Healthcare Hls vs. Schwab Health Care
Performance |
Timeline |
Hartford Healthcare Hls |
Schwab Health Care |
Hartford Healthcare and Schwab Health Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hartford Healthcare and Schwab Health
The main advantage of trading using opposite Hartford Healthcare and Schwab Health positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hartford Healthcare position performs unexpectedly, Schwab Health 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 Schwab Health will offset losses from the drop in Schwab Health's long position.Hartford Healthcare vs. Goldman Sachs Bond | Hartford Healthcare vs. Bbh Intermediate Municipal | Hartford Healthcare vs. Multisector Bond Sma | Hartford Healthcare vs. The National Tax Free |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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