Correlation Between Dreyfus New and Bny Mellon

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Can any of the company-specific risk be diversified away by investing in both Dreyfus New 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 Dreyfus New and Bny Mellon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dreyfus New York and Bny Mellon New, you can compare the effects of market volatilities on Dreyfus New 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 Dreyfus New with a short position of Bny Mellon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dreyfus New and Bny Mellon.

Diversification Opportunities for Dreyfus New and Bny Mellon

0.49
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Dreyfus and Bny is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Dreyfus New York and Bny Mellon New in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bny Mellon New and Dreyfus New 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 Dreyfus New York 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 New has no effect on the direction of Dreyfus New i.e., Dreyfus New and Bny Mellon go up and down completely randomly.

Pair Corralation between Dreyfus New and Bny Mellon

If you would invest  1,054  in Bny Mellon New on September 12, 2024 and sell it today you would earn a total of  5.00  from holding Bny Mellon New or generate 0.47% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy1.59%
ValuesDaily Returns

Dreyfus New York  vs.  Bny Mellon New

 Performance 
       Timeline  
Dreyfus New York 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Dreyfus New York has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Dreyfus New is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.
Bny Mellon New 

Risk-Adjusted Performance

2 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in Bny Mellon New are ranked lower than 2 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong forward indicators, Bny Mellon is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Dreyfus New and Bny Mellon Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Dreyfus New and Bny Mellon

The main advantage of trading using opposite Dreyfus New and Bny Mellon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dreyfus New 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 Dreyfus New York and Bny Mellon New 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.

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