Correlation Between High Yield and High Yield
Can any of the company-specific risk be diversified away by investing in both High Yield and High Yield 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 High Yield and High Yield into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between High Yield Portfolio and High Yield Fund, you can compare the effects of market volatilities on High Yield and High Yield 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 High Yield with a short position of High Yield. Check out your portfolio center. Please also check ongoing floating volatility patterns of High Yield and High Yield.
Diversification Opportunities for High Yield and High Yield
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between High and High is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding High Yield Portfolio and High Yield Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on High Yield Fund and High Yield 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 High Yield Portfolio are associated (or correlated) with High Yield. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of High Yield Fund has no effect on the direction of High Yield i.e., High Yield and High Yield go up and down completely randomly.
Pair Corralation between High Yield and High Yield
Assuming the 90 days horizon High Yield is expected to generate 1.47 times less return on investment than High Yield. But when comparing it to its historical volatility, High Yield Portfolio is 1.23 times less risky than High Yield. It trades about 0.27 of its potential returns per unit of risk. High Yield Fund is currently generating about 0.32 of returns per unit of risk over similar time horizon. If you would invest 743.00 in High Yield Fund on October 22, 2024 and sell it today you would earn a total of 9.00 from holding High Yield Fund or generate 1.21% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
High Yield Portfolio vs. High Yield Fund
Performance |
| Timeline |
| High Yield Portfolio |
| High Yield Fund |
High Yield and High Yield Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with High Yield and High Yield
The main advantage of trading using opposite High Yield and High Yield positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if High Yield position performs unexpectedly, High Yield 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 High Yield will offset losses from the drop in High Yield's long position.| High Yield vs. Franklin Natural Resources | High Yield vs. Clearbridge Energy Mlp | High Yield vs. Advisory Research Mlp | High Yield vs. Blackrock All Cap Energy |
| High Yield vs. High Income Fund | High Yield vs. High Yield Portfolio | High Yield vs. High Yield Portfolio | High Yield vs. High Yield Portfolio |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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