Correlation Between Baron Health and College Retirement
Can any of the company-specific risk be diversified away by investing in both Baron Health and College Retirement 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 Baron Health and College Retirement into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Baron Health Care and College Retirement Equities, you can compare the effects of market volatilities on Baron Health and College Retirement 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 Baron Health with a short position of College Retirement. Check out your portfolio center. Please also check ongoing floating volatility patterns of Baron Health and College Retirement.
Diversification Opportunities for Baron Health and College Retirement
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Baron and College is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Baron Health Care and College Retirement Equities in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on College Retirement and Baron 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 Baron Health Care are associated (or correlated) with College Retirement. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of College Retirement has no effect on the direction of Baron Health i.e., Baron Health and College Retirement go up and down completely randomly.
Pair Corralation between Baron Health and College Retirement
Assuming the 90 days horizon Baron Health is expected to generate 3.65 times less return on investment than College Retirement. In addition to that, Baron Health is 1.02 times more volatile than College Retirement Equities. It trades about 0.03 of its total potential returns per unit of risk. College Retirement Equities is currently generating about 0.11 per unit of volatility. If you would invest 33,519 in College Retirement Equities on October 9, 2024 and sell it today you would earn a total of 17,780 from holding College Retirement Equities or generate 53.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Baron Health Care vs. College Retirement Equities
Performance |
Timeline |
Baron Health Care |
College Retirement |
Baron Health and College Retirement Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Baron Health and College Retirement
The main advantage of trading using opposite Baron Health and College Retirement positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Baron Health position performs unexpectedly, College Retirement 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 College Retirement will offset losses from the drop in College Retirement's long position.Baron Health vs. Voya High Yield | Baron Health vs. Strategic Advisers Income | Baron Health vs. Tiaa Cref High Yield Fund | Baron Health vs. Artisan High Income |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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