Correlation Between Goldman Sachs and Intel

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Can any of the company-specific risk be diversified away by investing in both Goldman Sachs and Intel 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 Intel 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 Intel, you can compare the effects of market volatilities on Goldman Sachs and Intel 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 Intel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and Intel.

Diversification Opportunities for Goldman Sachs and Intel

-0.2
  Correlation Coefficient

Good diversification

The 3 months correlation between Goldman and Intel is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs Large and Intel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Intel 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 Intel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Intel has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and Intel go up and down completely randomly.

Pair Corralation between Goldman Sachs and Intel

Assuming the 90 days horizon Goldman Sachs Large is expected to generate 0.54 times more return on investment than Intel. However, Goldman Sachs Large is 1.84 times less risky than Intel. It trades about 0.06 of its potential returns per unit of risk. Intel is currently generating about 0.0 per unit of risk. If you would invest  2,163  in Goldman Sachs Large on January 27, 2024 and sell it today you would earn a total of  823.00  from holding Goldman Sachs Large or generate 38.05% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Goldman Sachs Large  vs.  Intel

 Performance 
       Timeline  
Goldman Sachs Large 

Risk-Adjusted Performance

2 of 100

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

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Intel has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unfluctuating performance in the last few months, the Stock's basic indicators remain rather sound which may send shares a bit higher in May 2024. The latest tumult may also be a sign of longer-term up-swing for the firm shareholders.

Goldman Sachs and Intel Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Goldman Sachs and Intel

The main advantage of trading using opposite Goldman Sachs and Intel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs position performs unexpectedly, Intel 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 Intel will offset losses from the drop in Intel's long position.
The idea behind Goldman Sachs Large and Intel 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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.

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