Correlation Between Basic Materials and Health Care
Can any of the company-specific risk be diversified away by investing in both Basic Materials and Health Care 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 Basic Materials and Health Care into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Basic Materials Fund and Health Care Fund, you can compare the effects of market volatilities on Basic Materials and Health Care 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 Basic Materials with a short position of Health Care. Check out your portfolio center. Please also check ongoing floating volatility patterns of Basic Materials and Health Care.
Diversification Opportunities for Basic Materials and Health Care
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Basic and Health is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Basic Materials Fund and Health Care Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Health Care Fund and Basic Materials 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 Basic Materials Fund are associated (or correlated) with Health Care. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Health Care Fund has no effect on the direction of Basic Materials i.e., Basic Materials and Health Care go up and down completely randomly.
Pair Corralation between Basic Materials and Health Care
Assuming the 90 days horizon Basic Materials Fund is expected to under-perform the Health Care. But the mutual fund apears to be less risky and, when comparing its historical volatility, Basic Materials Fund is 1.0 times less risky than Health Care. The mutual fund trades about -0.04 of its potential returns per unit of risk. The Health Care Fund is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 3,034 in Health Care Fund on August 29, 2024 and sell it today you would lose (2.00) from holding Health Care Fund or give up 0.07% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Basic Materials Fund vs. Health Care Fund
Performance |
| Timeline |
| Basic Materials |
| Health Care Fund |
Basic Materials and Health Care Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Basic Materials and Health Care
The main advantage of trading using opposite Basic Materials and Health Care positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Basic Materials position performs unexpectedly, Health Care 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 Health Care will offset losses from the drop in Health Care's long position.| Basic Materials vs. Basic Materials Fund | Basic Materials vs. Energy Services Fund | Basic Materials vs. Energy Fund Class | Basic Materials vs. Basic Materials Fund |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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