Correlation Between Automatic Data and Kforce
Can any of the company-specific risk be diversified away by investing in both Automatic Data and Kforce 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 Kforce 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 Kforce Inc, you can compare the effects of market volatilities on Automatic Data and Kforce 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 Kforce. Check out your portfolio center. Please also check ongoing floating volatility patterns of Automatic Data and Kforce.
Diversification Opportunities for Automatic Data and Kforce
-0.52 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Automatic and Kforce is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding Automatic Data Processing and Kforce Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kforce Inc 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 Kforce. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kforce Inc has no effect on the direction of Automatic Data i.e., Automatic Data and Kforce go up and down completely randomly.
Pair Corralation between Automatic Data and Kforce
Considering the 90-day investment horizon Automatic Data Processing is expected to generate 0.64 times more return on investment than Kforce. However, Automatic Data Processing is 1.56 times less risky than Kforce. It trades about 0.08 of its potential returns per unit of risk. Kforce Inc is currently generating about -0.13 per unit of risk. If you would invest 29,142 in Automatic Data Processing on December 29, 2024 and sell it today you would earn a total of 1,401 from holding Automatic Data Processing or generate 4.81% 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. Kforce Inc
Performance |
Timeline |
Automatic Data Processing |
Kforce Inc |
Automatic Data and Kforce Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Automatic Data and Kforce
The main advantage of trading using opposite Automatic Data and Kforce positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Automatic Data position performs unexpectedly, Kforce 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 Kforce will offset losses from the drop in Kforce's long position.Automatic Data vs. Discount Print USA | Automatic Data vs. Cass Information Systems | Automatic Data vs. Civeo Corp | Automatic Data vs. Network 1 Technologies |
Kforce vs. Heidrick Struggles International | Kforce vs. ManpowerGroup | Kforce vs. Korn Ferry | Kforce vs. Hudson Global |
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 Share Portfolio module to track or share privately all of your investments from the convenience of any device.
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