Correlation Between First Trust and High Yield
Can any of the company-specific risk be diversified away by investing in both First Trust 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 First Trust and High Yield into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Trust Nasdaq and High Yield Municipal Fund, you can compare the effects of market volatilities on First Trust 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 First Trust with a short position of High Yield. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Trust and High Yield.
Diversification Opportunities for First Trust and High Yield
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between First and High is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding First Trust Nasdaq and High Yield Municipal Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on High Yield Municipal and First Trust 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 First Trust Nasdaq 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 Municipal has no effect on the direction of First Trust i.e., First Trust and High Yield go up and down completely randomly.
Pair Corralation between First Trust and High Yield
Given the investment horizon of 90 days First Trust Nasdaq is expected to under-perform the High Yield. In addition to that, First Trust is 2.14 times more volatile than High Yield Municipal Fund. It trades about -0.16 of its total potential returns per unit of risk. High Yield Municipal Fund is currently generating about -0.02 per unit of volatility. If you would invest 897.00 in High Yield Municipal Fund on September 20, 2024 and sell it today you would lose (4.00) from holding High Yield Municipal Fund or give up 0.45% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
First Trust Nasdaq vs. High Yield Municipal Fund
Performance |
Timeline |
First Trust Nasdaq |
High Yield Municipal |
First Trust and High Yield Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Trust and High Yield
The main advantage of trading using opposite First Trust and High Yield positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Trust 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.First Trust vs. First Trust Consumer | First Trust vs. Fidelity MSCI Consumer | First Trust vs. iShares Consumer Staples | First Trust vs. iShares Global Consumer |
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 |
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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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