Correlation Between Automatic Data and Exxon Mobil
Can any of the company-specific risk be diversified away by investing in both Automatic Data and Exxon Mobil 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 Exxon Mobil 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 Exxon Mobil, you can compare the effects of market volatilities on Automatic Data and Exxon Mobil 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 Exxon Mobil. Check out your portfolio center. Please also check ongoing floating volatility patterns of Automatic Data and Exxon Mobil.
Diversification Opportunities for Automatic Data and Exxon Mobil
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between Automatic and Exxon is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding Automatic Data Processing and Exxon Mobil in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Exxon Mobil 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 Exxon Mobil. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Exxon Mobil has no effect on the direction of Automatic Data i.e., Automatic Data and Exxon Mobil go up and down completely randomly.
Pair Corralation between Automatic Data and Exxon Mobil
Assuming the 90 days trading horizon Automatic Data Processing is expected to under-perform the Exxon Mobil. But the stock apears to be less risky and, when comparing its historical volatility, Automatic Data Processing is 1.24 times less risky than Exxon Mobil. The stock trades about -0.04 of its potential returns per unit of risk. The Exxon Mobil is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 8,168 in Exxon Mobil on December 30, 2024 and sell it today you would earn a total of 301.00 from holding Exxon Mobil or generate 3.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Automatic Data Processing vs. Exxon Mobil
Performance |
Timeline |
Automatic Data Processing |
Exxon Mobil |
Automatic Data and Exxon Mobil Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Automatic Data and Exxon Mobil
The main advantage of trading using opposite Automatic Data and Exxon Mobil positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Automatic Data position performs unexpectedly, Exxon Mobil 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 Exxon Mobil will offset losses from the drop in Exxon Mobil's long position.Automatic Data vs. Brpr Corporate Offices | Automatic Data vs. STMicroelectronics NV | Automatic Data vs. Unifique Telecomunicaes SA | Automatic Data vs. SK Telecom Co, |
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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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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