Correlation Between BNY Mellon and BNY Mellon

Can any of the company-specific risk be diversified away by investing in both BNY Mellon 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 BNY Mellon and BNY Mellon into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between BNY Mellon ETF and BNY Mellon Large, you can compare the effects of market volatilities on BNY Mellon 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 BNY Mellon with a short position of BNY Mellon. Check out your portfolio center. Please also check ongoing floating volatility patterns of BNY Mellon and BNY Mellon.

Diversification Opportunities for BNY Mellon and BNY Mellon

0.94

Correlation Coefficient

BNY Mellon  BNY Mellon

Almost no diversification

The 3 months correlation between BNY and BNY is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding BNY Mellon ETF and BNY Mellon Large in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BNY Mellon Large 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 ETF 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 Large has no effect on the direction of BNY Mellon i.e., BNY Mellon and BNY Mellon go up and down completely randomly.

Pair Corralation between BNY Mellon and BNY Mellon

Given the investment horizon of 90 days BNY Mellon ETF is expected to under-perform the BNY Mellon. In addition to that, BNY Mellon is 1.11 times more volatile than BNY Mellon Large. It trades about -0.09 of its total potential returns per unit of risk. BNY Mellon Large is currently generating about -0.06 per unit of volatility. If you would invest  11,504  in BNY Mellon Large on December 26, 2024 and sell it today you would lose (470.00) from holding BNY Mellon Large or give up 4.09% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Strong
Accuracy	100.0%
Values	Daily Returns

BNY Mellon ETF  vs.  BNY Mellon Large

BNY Mellon ETF

Risk-Adjusted Performance

Very Weak

Over the last 90 days BNY Mellon ETF has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest unsteady performance, the Etf's basic indicators remain sound and the latest tumult on Wall Street may also be a sign of longer-term gains for the fund shareholders.

BNY Mellon Large

Risk-Adjusted Performance

Very Weak

Over the last 90 days BNY Mellon Large has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound essential indicators, BNY Mellon is not utilizing all of its potentials. The current stock price tumult, may contribute to shorter-term losses for the shareholders.

Pair Trading with BNY Mellon and BNY Mellon

The main advantage of trading using opposite BNY Mellon and BNY Mellon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BNY Mellon 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.

The idea behind BNY Mellon ETF and BNY Mellon Large pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.