Correlation Between Schwab Health and New Economy
Can any of the company-specific risk be diversified away by investing in both Schwab Health and New Economy 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 New Economy 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 New Economy Fund, you can compare the effects of market volatilities on Schwab Health and New Economy 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 New Economy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Schwab Health and New Economy.
Diversification Opportunities for Schwab Health and New Economy
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Schwab and New is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Schwab Health Care and New Economy Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on New Economy Fund 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 New Economy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of New Economy Fund has no effect on the direction of Schwab Health i.e., Schwab Health and New Economy go up and down completely randomly.
Pair Corralation between Schwab Health and New Economy
Assuming the 90 days horizon Schwab Health Care is expected to generate 0.61 times more return on investment than New Economy. However, Schwab Health Care is 1.65 times less risky than New Economy. It trades about 0.15 of its potential returns per unit of risk. New Economy Fund is currently generating about -0.05 per unit of risk. If you would invest 2,349 in Schwab Health Care on December 22, 2024 and sell it today you would earn a total of 157.00 from holding Schwab Health Care or generate 6.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Schwab Health Care vs. New Economy Fund
Performance |
Timeline |
Schwab Health Care |
New Economy Fund |
Schwab Health and New Economy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Schwab Health and New Economy
The main advantage of trading using opposite Schwab Health and New Economy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Schwab Health position performs unexpectedly, New Economy 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 New Economy will offset losses from the drop in New Economy's long position.Schwab Health vs. Absolute Convertible Arbitrage | Schwab Health vs. Advent Claymore Convertible | Schwab Health vs. Lord Abbett Convertible | Schwab Health vs. Miller Vertible Bond |
New Economy vs. Eaton Vance Worldwide | New Economy vs. Live Oak Health | New Economy vs. Blackrock Health Sciences | New Economy vs. Schwab Health Care |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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