Correlation Between Automatic Data and Exponent
Can any of the company-specific risk be diversified away by investing in both Automatic Data and Exponent 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 Exponent 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 Exponent, you can compare the effects of market volatilities on Automatic Data and Exponent 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 Exponent. Check out your portfolio center. Please also check ongoing floating volatility patterns of Automatic Data and Exponent.
Diversification Opportunities for Automatic Data and Exponent
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Automatic and Exponent is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Automatic Data Processing and Exponent in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Exponent 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 Exponent. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Exponent has no effect on the direction of Automatic Data i.e., Automatic Data and Exponent go up and down completely randomly.
Pair Corralation between Automatic Data and Exponent
Considering the 90-day investment horizon Automatic Data Processing is expected to generate 0.51 times more return on investment than Exponent. However, Automatic Data Processing is 1.97 times less risky than Exponent. It trades about 0.18 of its potential returns per unit of risk. Exponent is currently generating about -0.06 per unit of risk. If you would invest 27,452 in Automatic Data Processing on August 30, 2024 and sell it today you would earn a total of 3,240 from holding Automatic Data Processing or generate 11.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Automatic Data Processing vs. Exponent
Performance |
Timeline |
Automatic Data Processing |
Exponent |
Automatic Data and Exponent Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Automatic Data and Exponent
The main advantage of trading using opposite Automatic Data and Exponent positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Automatic Data position performs unexpectedly, Exponent 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 Exponent will offset losses from the drop in Exponent's long position.Automatic Data vs. Robert Half International | Automatic Data vs. ManpowerGroup | Automatic Data vs. Kforce Inc | Automatic Data vs. Korn Ferry |
Exponent vs. CRA International | Exponent vs. Huron Consulting Group | Exponent vs. Forrester Research | Exponent vs. Resources Connection |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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