Correlation Between High Yield and B Riley
Can any of the company-specific risk be diversified away by investing in both High Yield and B Riley 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 B Riley into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between High Yield Municipal Fund and B Riley Financial, you can compare the effects of market volatilities on High Yield and B Riley 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 B Riley. Check out your portfolio center. Please also check ongoing floating volatility patterns of High Yield and B Riley.
Diversification Opportunities for High Yield and B Riley
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between High and RILYP is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding High Yield Municipal Fund and B Riley Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on B Riley Financial 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 Municipal Fund are associated (or correlated) with B Riley. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of B Riley Financial has no effect on the direction of High Yield i.e., High Yield and B Riley go up and down completely randomly.
Pair Corralation between High Yield and B Riley
Assuming the 90 days horizon High Yield Municipal Fund is expected to under-perform the B Riley. But the mutual fund apears to be less risky and, when comparing its historical volatility, High Yield Municipal Fund is 11.57 times less risky than B Riley. The mutual fund trades about -0.36 of its potential returns per unit of risk. The B Riley Financial is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 710.00 in B Riley Financial on October 8, 2024 and sell it today you would lose (10.00) from holding B Riley Financial or give up 1.41% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
High Yield Municipal Fund vs. B Riley Financial
Performance |
Timeline |
High Yield Municipal |
B Riley Financial |
High Yield and B Riley Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with High Yield and B Riley
The main advantage of trading using opposite High Yield and B Riley positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if High Yield position performs unexpectedly, B Riley 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 B Riley will offset losses from the drop in B Riley's long position.High Yield vs. High Yield Fund Investor | High Yield vs. Intermediate Term Tax Free Bond | High Yield vs. California High Yield Municipal | High Yield vs. T Rowe Price |
B Riley vs. B Riley Financial | B Riley vs. B Riley Financial | B Riley vs. B Riley Financial | B Riley vs. B Riley Financial, |
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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