Correlation Between Goldman Sachs and Quantitative

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

Diversification Opportunities for Goldman Sachs and Quantitative

0.92
  Correlation Coefficient

Almost no diversification

The 3 months correlation between GOLDMAN and Quantitative is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs Large and Quantitative U S in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Quantitative U S 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 Large are associated (or correlated) with Quantitative. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Quantitative U S has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and Quantitative go up and down completely randomly.

Pair Corralation between Goldman Sachs and Quantitative

Assuming the 90 days horizon Goldman Sachs Large is expected to generate 0.94 times more return on investment than Quantitative. However, Goldman Sachs Large is 1.06 times less risky than Quantitative. It trades about 0.08 of its potential returns per unit of risk. Quantitative U S is currently generating about 0.07 per unit of risk. If you would invest  1,507  in Goldman Sachs Large on August 28, 2024 and sell it today you would earn a total of  451.00  from holding Goldman Sachs Large or generate 29.93% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy99.79%
ValuesDaily Returns

Goldman Sachs Large  vs.  Quantitative U S

 Performance 
       Timeline  
Goldman Sachs Large 

Risk-Adjusted Performance

13 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Goldman Sachs Large are ranked lower than 13 (%) 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 December 2024.
Quantitative U S 

Risk-Adjusted Performance

10 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Quantitative U S are ranked lower than 10 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong basic indicators, Quantitative is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Goldman Sachs and Quantitative Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Goldman Sachs and Quantitative

The main advantage of trading using opposite Goldman Sachs and Quantitative positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs position performs unexpectedly, Quantitative 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 Quantitative will offset losses from the drop in Quantitative's long position.
The idea behind Goldman Sachs Large and Quantitative U S 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.
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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.

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