Correlation Between Bny Mellon and First Trust
Can any of the company-specific risk be diversified away by investing in both Bny Mellon and First Trust 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 Bny Mellon and First Trust into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bny Mellon Bond and First Trust Specialty, you can compare the effects of market volatilities on Bny Mellon and First Trust 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 Bny Mellon with a short position of First Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bny Mellon and First Trust.
Diversification Opportunities for Bny Mellon and First Trust
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between Bny and First is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Bny Mellon Bond and First Trust Specialty in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Trust Specialty and Bny Mellon 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 Bny Mellon Bond are associated (or correlated) with First Trust. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Trust Specialty has no effect on the direction of Bny Mellon i.e., Bny Mellon and First Trust go up and down completely randomly.
Pair Corralation between Bny Mellon and First Trust
Assuming the 90 days horizon Bny Mellon is expected to generate 9.01 times less return on investment than First Trust. But when comparing it to its historical volatility, Bny Mellon Bond is 2.79 times less risky than First Trust. It trades about 0.04 of its potential returns per unit of risk. First Trust Specialty is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 430.00 in First Trust Specialty on November 3, 2024 and sell it today you would earn a total of 11.00 from holding First Trust Specialty or generate 2.56% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bny Mellon Bond vs. First Trust Specialty
Performance |
| Timeline |
| Bny Mellon Bond |
| First Trust Specialty |
Bny Mellon and First Trust Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bny Mellon and First Trust
The main advantage of trading using opposite Bny Mellon and First Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bny Mellon position performs unexpectedly, First Trust 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 First Trust will offset losses from the drop in First Trust's long position.| Bny Mellon vs. Fidelity Large Cap | Bny Mellon vs. Oakmark Fund Investor | Bny Mellon vs. Americafirst Large Cap | Bny Mellon vs. Dodge Cox Stock |
| First Trust vs. MFS High Income | First Trust vs. MFS High Yield | First Trust vs. Blackrock Muniholdings Quality | First Trust vs. MFS Government Markets |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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