Correlation Between Goldman Sachs and Bny Mellon

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

Diversification Opportunities for Goldman Sachs and Bny Mellon

-0.24
  Correlation Coefficient

Very good diversification

The 3 months correlation between Goldman and Bny is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs Technology and Bny Mellon Emerging in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bny Mellon Emerging and Goldman Sachs 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 Goldman Sachs Technology 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 Emerging has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and Bny Mellon go up and down completely randomly.

Pair Corralation between Goldman Sachs and Bny Mellon

Assuming the 90 days horizon Goldman Sachs Technology is expected to generate 1.57 times more return on investment than Bny Mellon. However, Goldman Sachs is 1.57 times more volatile than Bny Mellon Emerging. It trades about 0.03 of its potential returns per unit of risk. Bny Mellon Emerging is currently generating about -0.07 per unit of risk. If you would invest  3,575  in Goldman Sachs Technology on October 23, 2024 and sell it today you would earn a total of  16.00  from holding Goldman Sachs Technology or generate 0.45% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Goldman Sachs Technology  vs.  Bny Mellon Emerging

 Performance 
       Timeline  
Goldman Sachs Technology 

Risk-Adjusted Performance

6 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in Goldman Sachs Technology are ranked lower than 6 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly weak basic indicators, Goldman Sachs may actually be approaching a critical reversion point that can send shares even higher in February 2025.
Bny Mellon Emerging 

Risk-Adjusted Performance

0 of 100

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

Goldman Sachs and Bny Mellon Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Goldman Sachs and Bny Mellon

The main advantage of trading using opposite Goldman Sachs and Bny Mellon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs 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 Goldman Sachs Technology and Bny Mellon Emerging 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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.

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