Correlation Between College Retirement and Floating Rate
Can any of the company-specific risk be diversified away by investing in both College Retirement and Floating Rate 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 College Retirement and Floating Rate into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between College Retirement Equities and Floating Rate Fund, you can compare the effects of market volatilities on College Retirement and Floating Rate 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 College Retirement with a short position of Floating Rate. Check out your portfolio center. Please also check ongoing floating volatility patterns of College Retirement and Floating Rate.
Diversification Opportunities for College Retirement and Floating Rate
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between College and Floating is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding College Retirement Equities and Floating Rate Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Floating Rate and College Retirement 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 College Retirement Equities are associated (or correlated) with Floating Rate. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Floating Rate has no effect on the direction of College Retirement i.e., College Retirement and Floating Rate go up and down completely randomly.
Pair Corralation between College Retirement and Floating Rate
Assuming the 90 days trading horizon College Retirement Equities is expected to under-perform the Floating Rate. In addition to that, College Retirement is 18.02 times more volatile than Floating Rate Fund. It trades about -0.09 of its total potential returns per unit of risk. Floating Rate Fund is currently generating about -0.13 per unit of volatility. If you would invest 818.00 in Floating Rate Fund on September 24, 2024 and sell it today you would lose (1.00) from holding Floating Rate Fund or give up 0.12% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
College Retirement Equities vs. Floating Rate Fund
Performance |
Timeline |
College Retirement |
Floating Rate |
College Retirement and Floating Rate Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with College Retirement and Floating Rate
The main advantage of trading using opposite College Retirement and Floating Rate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if College Retirement position performs unexpectedly, Floating Rate 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 Floating Rate will offset losses from the drop in Floating Rate's long position.College Retirement vs. Western Asset Municipal | College Retirement vs. Rbc Microcap Value | College Retirement vs. Qs Large Cap | College Retirement vs. Arrow Managed Futures |
Floating Rate vs. Qs Moderate Growth | Floating Rate vs. Jpmorgan Smartretirement 2035 | Floating Rate vs. Sa Worldwide Moderate | Floating Rate vs. College Retirement Equities |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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