Correlation Between Automatic Data and GSTechnologies
Can any of the company-specific risk be diversified away by investing in both Automatic Data and GSTechnologies 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 GSTechnologies 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 GSTechnologies, you can compare the effects of market volatilities on Automatic Data and GSTechnologies 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 GSTechnologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Automatic Data and GSTechnologies.
Diversification Opportunities for Automatic Data and GSTechnologies
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Automatic and GSTechnologies is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Automatic Data Processing and GSTechnologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GSTechnologies 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 GSTechnologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GSTechnologies has no effect on the direction of Automatic Data i.e., Automatic Data and GSTechnologies go up and down completely randomly.
Pair Corralation between Automatic Data and GSTechnologies
Assuming the 90 days trading horizon Automatic Data Processing is expected to under-perform the GSTechnologies. But the stock apears to be less risky and, when comparing its historical volatility, Automatic Data Processing is 6.85 times less risky than GSTechnologies. The stock trades about -0.17 of its potential returns per unit of risk. The GSTechnologies is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 137.00 in GSTechnologies on September 23, 2024 and sell it today you would earn a total of 41.00 from holding GSTechnologies or generate 29.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Automatic Data Processing vs. GSTechnologies
Performance |
Timeline |
Automatic Data Processing |
GSTechnologies |
Automatic Data and GSTechnologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Automatic Data and GSTechnologies
The main advantage of trading using opposite Automatic Data and GSTechnologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Automatic Data position performs unexpectedly, GSTechnologies 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 GSTechnologies will offset losses from the drop in GSTechnologies' long position.Automatic Data vs. Uniper SE | Automatic Data vs. Mulberry Group PLC | Automatic Data vs. London Security Plc | Automatic Data vs. Triad Group PLC |
GSTechnologies vs. Samsung Electronics Co | GSTechnologies vs. Samsung Electronics Co | GSTechnologies vs. Hyundai Motor | GSTechnologies vs. Toyota Motor Corp |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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