Correlation Between VanEck Fallen and BNY Mellon
Can any of the company-specific risk be diversified away by investing in both VanEck Fallen and BNY Mellon 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 VanEck Fallen and BNY Mellon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between VanEck Fallen Angel and BNY Mellon High, you can compare the effects of market volatilities on VanEck Fallen and BNY Mellon 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 VanEck Fallen with a short position of BNY Mellon. Check out your portfolio center. Please also check ongoing floating volatility patterns of VanEck Fallen and BNY Mellon.
Diversification Opportunities for VanEck Fallen and BNY Mellon
0.96 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between VanEck and BNY is 0.96. Overlapping area represents the amount of risk that can be diversified away by holding VanEck Fallen Angel and BNY Mellon High in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BNY Mellon High and VanEck Fallen 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 VanEck Fallen Angel are associated (or correlated) with BNY Mellon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BNY Mellon High has no effect on the direction of VanEck Fallen i.e., VanEck Fallen and BNY Mellon go up and down completely randomly.
Pair Corralation between VanEck Fallen and BNY Mellon
Given the investment horizon of 90 days VanEck Fallen Angel is expected to generate 1.09 times more return on investment than BNY Mellon. However, VanEck Fallen is 1.09 times more volatile than BNY Mellon High. It trades about 0.26 of its potential returns per unit of risk. BNY Mellon High is currently generating about 0.26 per unit of risk. If you would invest 2,868 in VanEck Fallen Angel on November 3, 2024 and sell it today you would earn a total of 40.00 from holding VanEck Fallen Angel or generate 1.39% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
VanEck Fallen Angel vs. BNY Mellon High
Performance |
| Timeline |
| VanEck Fallen Angel |
| BNY Mellon High |
VanEck Fallen and BNY Mellon Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with VanEck Fallen and BNY Mellon
The main advantage of trading using opposite VanEck Fallen and BNY Mellon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if VanEck Fallen position performs unexpectedly, BNY Mellon 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 BNY Mellon will offset losses from the drop in BNY Mellon's long position.| VanEck Fallen vs. iShares Fallen Angels | VanEck Fallen vs. VanEck Emerging Markets | VanEck Fallen vs. First Trust Multi Asset | VanEck Fallen vs. iShares 0 5 Year |
| BNY Mellon vs. BNY Mellon International | BNY Mellon vs. BNY Mellon ETF | BNY Mellon vs. BNY Mellon Mid | BNY Mellon vs. BNY Mellon Large |
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 Transaction History module to view history of all your transactions and understand their impact on performance.
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