Correlation Between Health Care and Financial Services
Can any of the company-specific risk be diversified away by investing in both Health Care and Financial Services 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 Financial Services into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Health Care Fund and Financial Services Fund, you can compare the effects of market volatilities on Health Care and Financial Services 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 Financial Services. Check out your portfolio center. Please also check ongoing floating volatility patterns of Health Care and Financial Services.
Diversification Opportunities for Health Care and Financial Services
-0.68 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Health and Financial is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding Health Care Fund and Financial Services Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Financial Services 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 Fund are associated (or correlated) with Financial Services. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Financial Services has no effect on the direction of Health Care i.e., Health Care and Financial Services go up and down completely randomly.
Pair Corralation between Health Care and Financial Services
Assuming the 90 days horizon Health Care Fund is expected to under-perform the Financial Services. In addition to that, Health Care is 1.41 times more volatile than Financial Services Fund. It trades about -0.13 of its total potential returns per unit of risk. Financial Services Fund is currently generating about -0.09 per unit of volatility. If you would invest 7,341 in Financial Services Fund on September 12, 2024 and sell it today you would lose (85.00) from holding Financial Services Fund or give up 1.16% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Health Care Fund vs. Financial Services Fund
Performance |
Timeline |
Health Care Fund |
Financial Services |
Health Care and Financial Services Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Health Care and Financial Services
The main advantage of trading using opposite Health Care and Financial Services positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Health Care position performs unexpectedly, Financial Services 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 Financial Services will offset losses from the drop in Financial Services' long position.Health Care vs. Technology Fund Investor | Health Care vs. Financial Services Fund | Health Care vs. Transportation Fund Investor | Health Care vs. Banking Fund Investor |
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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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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