Correlation Between Health Care and Core Fixed
Can any of the company-specific risk be diversified away by investing in both Health Care and Core Fixed 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 Health Care and Core Fixed into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Health Care Ultrasector and Core Fixed Income, you can compare the effects of market volatilities on Health Care and Core Fixed 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 Health Care with a short position of Core Fixed. Check out your portfolio center. Please also check ongoing floating volatility patterns of Health Care and Core Fixed.
Diversification Opportunities for Health Care and Core Fixed
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Health and Core is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Health Care Ultrasector and Core Fixed Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Core Fixed Income and Health Care 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 Health Care Ultrasector are associated (or correlated) with Core Fixed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Core Fixed Income has no effect on the direction of Health Care i.e., Health Care and Core Fixed go up and down completely randomly.
Pair Corralation between Health Care and Core Fixed
Assuming the 90 days horizon Health Care is expected to generate 1.42 times less return on investment than Core Fixed. In addition to that, Health Care is 5.34 times more volatile than Core Fixed Income. It trades about 0.02 of its total potential returns per unit of risk. Core Fixed Income is currently generating about 0.17 per unit of volatility. If you would invest 662.00 in Core Fixed Income on May 18, 2025 and sell it today you would earn a total of 20.00 from holding Core Fixed Income or generate 3.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Health Care Ultrasector vs. Core Fixed Income
Performance |
Timeline |
Health Care Ultrasector |
Core Fixed Income |
Health Care and Core Fixed Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Health Care and Core Fixed
The main advantage of trading using opposite Health Care and Core Fixed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Health Care position performs unexpectedly, Core Fixed 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 Core Fixed will offset losses from the drop in Core Fixed's long position.Health Care vs. Nasdaq 100 2x Strategy | Health Care vs. Nasdaq 100 2x Strategy | Health Care vs. Nasdaq 100 2x Strategy | Health Care vs. Ultra Nasdaq 100 Profunds |
Core Fixed vs. Core Bond Fund | Core Fixed vs. Core Bond Series | Core Fixed vs. Core Bond Series | Core Fixed vs. Core Plus Bond |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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