Correlation Between GS Chain and Automatic Data
Can any of the company-specific risk be diversified away by investing in both GS Chain and Automatic Data 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 GS Chain and Automatic Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GS Chain PLC and Automatic Data Processing, you can compare the effects of market volatilities on GS Chain and Automatic Data 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 GS Chain with a short position of Automatic Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of GS Chain and Automatic Data.
Diversification Opportunities for GS Chain and Automatic Data
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between GSC and Automatic is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding GS Chain PLC and Automatic Data Processing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Automatic Data Processing and GS Chain 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 GS Chain PLC are associated (or correlated) with Automatic Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Automatic Data Processing has no effect on the direction of GS Chain i.e., GS Chain and Automatic Data go up and down completely randomly.
Pair Corralation between GS Chain and Automatic Data
Assuming the 90 days trading horizon GS Chain PLC is expected to generate 120.84 times more return on investment than Automatic Data. However, GS Chain is 120.84 times more volatile than Automatic Data Processing. It trades about 0.11 of its potential returns per unit of risk. Automatic Data Processing is currently generating about 0.06 per unit of risk. If you would invest 60.00 in GS Chain PLC on April 20, 2025 and sell it today you would lose (15.00) from holding GS Chain PLC or give up 25.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
GS Chain PLC vs. Automatic Data Processing
Performance |
Timeline |
GS Chain PLC |
Automatic Data Processing |
GS Chain and Automatic Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GS Chain and Automatic Data
The main advantage of trading using opposite GS Chain and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GS Chain position performs unexpectedly, Automatic Data 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 Automatic Data will offset losses from the drop in Automatic Data's long position.GS Chain vs. Automatic Data Processing | GS Chain vs. Fidelity National Information | GS Chain vs. Rosslyn Data Technologies | GS Chain vs. Abingdon Health Plc |
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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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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