Correlation Between Automatic Data and Goldman Sachs

Can any of the company-specific risk be diversified away by investing in both Automatic Data and Goldman Sachs 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 Automatic Data and Goldman Sachs into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Automatic Data Processing and The Goldman Sachs, you can compare the effects of market volatilities on Automatic Data and Goldman Sachs 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 Automatic Data with a short position of Goldman Sachs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Automatic Data and Goldman Sachs.

Diversification Opportunities for Automatic Data and Goldman Sachs

0.92

Correlation Coefficient

Automatic Data  Goldman Sachs

Almost no diversification

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

Pair Corralation between Automatic Data and Goldman Sachs

Assuming the 90 days trading horizon Automatic Data is expected to generate 1.23 times less return on investment than Goldman Sachs. But when comparing it to its historical volatility, Automatic Data Processing is 1.53 times less risky than Goldman Sachs. It trades about 0.15 of its potential returns per unit of risk. The Goldman Sachs is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest  8,083  in The Goldman Sachs on October 13, 2024 and sell it today you would earn a total of  3,327  from holding The Goldman Sachs or generate 41.16% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Strong
Accuracy	98.61%
Values	Daily Returns

Automatic Data Processing  vs.  The Goldman Sachs

Automatic Data Processing

Risk-Adjusted Performance

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Automatic Data Processing are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Automatic Data may actually be approaching a critical reversion point that can send shares even higher in February 2025.

Goldman Sachs

Risk-Adjusted Performance

9 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in The Goldman Sachs are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. Despite somewhat uncertain technical and fundamental indicators, Goldman Sachs sustained solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Automatic Data and Goldman Sachs

The main advantage of trading using opposite Automatic Data and Goldman Sachs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Automatic Data position performs unexpectedly, Goldman Sachs 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 Goldman Sachs will offset losses from the drop in Goldman Sachs' long position.

The idea behind Automatic Data Processing and The Goldman Sachs 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 Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..