Correlation Between Kforce and Automatic Data
Can any of the company-specific risk be diversified away by investing in both Kforce 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 Kforce and Automatic Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kforce Inc and Automatic Data Processing, you can compare the effects of market volatilities on Kforce 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 Kforce with a short position of Automatic Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kforce and Automatic Data.
Diversification Opportunities for Kforce and Automatic Data
-0.52 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Kforce and Automatic is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding Kforce Inc 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 Kforce 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 Kforce Inc 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 Kforce i.e., Kforce and Automatic Data go up and down completely randomly.
Pair Corralation between Kforce and Automatic Data
Given the investment horizon of 90 days Kforce Inc is expected to under-perform the Automatic Data. In addition to that, Kforce is 1.56 times more volatile than Automatic Data Processing. It trades about -0.13 of its total potential returns per unit of risk. Automatic Data Processing is currently generating about 0.08 per unit of volatility. 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 |
Kforce Inc vs. Automatic Data Processing
Performance |
Timeline |
Kforce Inc |
Automatic Data Processing |
Kforce and Automatic Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kforce and Automatic Data
The main advantage of trading using opposite Kforce and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kforce 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.Kforce vs. Heidrick Struggles International | Kforce vs. ManpowerGroup | Kforce vs. Korn Ferry | Kforce vs. Hudson Global |
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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 Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.
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