Correlation Between Goldman Sachs and Segall Bryant

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Goldman Sachs and Segall Bryant 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 Segall Bryant into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Goldman Sachs High and Segall Bryant Hamill, you can compare the effects of market volatilities on Goldman Sachs and Segall Bryant 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 Segall Bryant. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and Segall Bryant.

Diversification Opportunities for Goldman Sachs and Segall Bryant

-0.03
  Correlation Coefficient

Good diversification

The 3 months correlation between GOLDMAN and Segall is -0.03. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs High and Segall Bryant Hamill in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Segall Bryant Hamill 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 High are associated (or correlated) with Segall Bryant. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Segall Bryant Hamill has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and Segall Bryant go up and down completely randomly.

Pair Corralation between Goldman Sachs and Segall Bryant

Assuming the 90 days horizon Goldman Sachs is expected to generate 2.68 times less return on investment than Segall Bryant. But when comparing it to its historical volatility, Goldman Sachs High is 2.38 times less risky than Segall Bryant. It trades about 0.08 of its potential returns per unit of risk. Segall Bryant Hamill is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest  1,867  in Segall Bryant Hamill on August 29, 2024 and sell it today you would earn a total of  535.00  from holding Segall Bryant Hamill or generate 28.66% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Goldman Sachs High  vs.  Segall Bryant Hamill

 Performance 
       Timeline  
Goldman Sachs High 

Risk-Adjusted Performance

3 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in Goldman Sachs High are ranked lower than 3 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong basic indicators, Goldman Sachs is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.
Segall Bryant Hamill 

Risk-Adjusted Performance

8 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Segall Bryant Hamill are ranked lower than 8 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong basic indicators, Segall Bryant is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Goldman Sachs and Segall Bryant Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Goldman Sachs and Segall Bryant

The main advantage of trading using opposite Goldman Sachs and Segall Bryant positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs position performs unexpectedly, Segall Bryant 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 Segall Bryant will offset losses from the drop in Segall Bryant's long position.
The idea behind Goldman Sachs High and Segall Bryant Hamill 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 Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.

Other Complementary Tools

Sign In To Macroaxis
Sign in to explore Macroaxis' wealth optimization platform and fintech modules
Theme Ratings
Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance
Portfolio Holdings
Check your current holdings and cash postion to detemine if your portfolio needs rebalancing
Bollinger Bands
Use Bollinger Bands indicator to analyze target price for a given investing horizon
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk