Correlation Between Health Care and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Health Care and Dow Jones 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 Dow Jones 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 Dow Jones Industrial, you can compare the effects of market volatilities on Health Care and Dow Jones 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 Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Health Care and Dow Jones.
Diversification Opportunities for Health Care and Dow Jones
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Health and Dow is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding Health Care Fund and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial 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 Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Health Care i.e., Health Care and Dow Jones go up and down completely randomly.
Pair Corralation between Health Care and Dow Jones
Assuming the 90 days horizon Health Care is expected to generate 4.07 times less return on investment than Dow Jones. In addition to that, Health Care is 1.06 times more volatile than Dow Jones Industrial. It trades about 0.02 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.08 per unit of volatility. If you would invest 3,410,864 in Dow Jones Industrial on September 3, 2024 and sell it today you would earn a total of 1,080,201 from holding Dow Jones Industrial or generate 31.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Health Care Fund vs. Dow Jones Industrial
Performance |
Timeline |
Health Care and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Health Care Fund
Pair trading matchups for Health Care
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Health Care and Dow Jones
The main advantage of trading using opposite Health Care and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Health Care position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.Health Care vs. Fm Investments Large | Health Care vs. Semiconductor Ultrasector Profund | Health Care vs. T Rowe Price | Health Care vs. William Blair Large |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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