Correlation Between Health Care and Energy Services
Can any of the company-specific risk be diversified away by investing in both Health Care and Energy 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 Energy 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 Energy Services Fund, you can compare the effects of market volatilities on Health Care and Energy 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 Energy Services. Check out your portfolio center. Please also check ongoing floating volatility patterns of Health Care and Energy Services.
Diversification Opportunities for Health Care and Energy Services
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between Health and ENERGY is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding Health Care Fund and Energy Services Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Energy 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 Energy Services. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Energy Services has no effect on the direction of Health Care i.e., Health Care and Energy Services go up and down completely randomly.
Pair Corralation between Health Care and Energy Services
Assuming the 90 days horizon Health Care is expected to generate 13.63 times less return on investment than Energy Services. But when comparing it to its historical volatility, Health Care Fund is 2.55 times less risky than Energy Services. It trades about 0.04 of its potential returns per unit of risk. Energy Services Fund is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 22,290 in Energy Services Fund on August 29, 2024 and sell it today you would earn a total of 2,196 from holding Energy Services Fund or generate 9.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Health Care Fund vs. Energy Services Fund
Performance |
Timeline |
Health Care Fund |
Energy Services |
Health Care and Energy Services Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Health Care and Energy Services
The main advantage of trading using opposite Health Care and Energy Services positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Health Care position performs unexpectedly, Energy 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 Energy Services will offset losses from the drop in Energy 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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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