Correlation Between Schwab Health and Baron Health
Can any of the company-specific risk be diversified away by investing in both Schwab Health and Baron Health 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 Schwab Health and Baron Health into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Schwab Health Care and Baron Health Care, you can compare the effects of market volatilities on Schwab Health and Baron Health 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 Schwab Health with a short position of Baron Health. Check out your portfolio center. Please also check ongoing floating volatility patterns of Schwab Health and Baron Health.
Diversification Opportunities for Schwab Health and Baron Health
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Schwab and Baron is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Schwab Health Care and Baron Health Care in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Baron Health Care and Schwab Health 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 Schwab Health Care are associated (or correlated) with Baron Health. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Baron Health Care has no effect on the direction of Schwab Health i.e., Schwab Health and Baron Health go up and down completely randomly.
Pair Corralation between Schwab Health and Baron Health
Assuming the 90 days horizon Schwab Health Care is expected to generate 0.81 times more return on investment than Baron Health. However, Schwab Health Care is 1.24 times less risky than Baron Health. It trades about -0.1 of its potential returns per unit of risk. Baron Health Care is currently generating about -0.14 per unit of risk. If you would invest 2,682 in Schwab Health Care on February 2, 2024 and sell it today you would lose (38.00) from holding Schwab Health Care or give up 1.42% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Schwab Health Care vs. Baron Health Care
Performance |
Timeline |
Schwab Health Care |
Baron Health Care |
Schwab Health and Baron Health Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Schwab Health and Baron Health
The main advantage of trading using opposite Schwab Health and Baron Health positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Schwab Health position performs unexpectedly, Baron Health 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 Baron Health will offset losses from the drop in Baron Health's long position.Schwab Health vs. Eaton Vance Atlanta | Schwab Health vs. Aquagold International | Schwab Health vs. Barloworld Ltd ADR | Schwab Health vs. Morningstar Unconstrained Allocation |
Baron Health vs. Eaton Vance Atlanta | Baron Health vs. Aquagold International | Baron Health vs. Barloworld Ltd ADR | Baron Health vs. Morningstar Unconstrained Allocation |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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