Correlation Between ManpowerGroup and RecruiterCom
Can any of the company-specific risk be diversified away by investing in both ManpowerGroup and RecruiterCom 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 ManpowerGroup and RecruiterCom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ManpowerGroup and RecruiterCom Group, you can compare the effects of market volatilities on ManpowerGroup and RecruiterCom 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 ManpowerGroup with a short position of RecruiterCom. Check out your portfolio center. Please also check ongoing floating volatility patterns of ManpowerGroup and RecruiterCom.
Diversification Opportunities for ManpowerGroup and RecruiterCom
-0.25 | Correlation Coefficient |
Very good diversification
The 3 months correlation between ManpowerGroup and RecruiterCom is -0.25. Overlapping area represents the amount of risk that can be diversified away by holding ManpowerGroup and RecruiterCom Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RecruiterCom Group and ManpowerGroup 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 ManpowerGroup are associated (or correlated) with RecruiterCom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of RecruiterCom Group has no effect on the direction of ManpowerGroup i.e., ManpowerGroup and RecruiterCom go up and down completely randomly.
Pair Corralation between ManpowerGroup and RecruiterCom
Considering the 90-day investment horizon ManpowerGroup is expected to under-perform the RecruiterCom. But the stock apears to be less risky and, when comparing its historical volatility, ManpowerGroup is 2.2 times less risky than RecruiterCom. The stock trades about -0.08 of its potential returns per unit of risk. The RecruiterCom Group is currently generating about 0.41 of returns per unit of risk over similar time horizon. If you would invest 192.00 in RecruiterCom Group on September 2, 2024 and sell it today you would earn a total of 82.00 from holding RecruiterCom Group or generate 42.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 32.81% |
Values | Daily Returns |
ManpowerGroup vs. RecruiterCom Group
Performance |
Timeline |
ManpowerGroup |
RecruiterCom Group |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Strong
ManpowerGroup and RecruiterCom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ManpowerGroup and RecruiterCom
The main advantage of trading using opposite ManpowerGroup and RecruiterCom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ManpowerGroup position performs unexpectedly, RecruiterCom 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 RecruiterCom will offset losses from the drop in RecruiterCom's long position.ManpowerGroup vs. Kforce Inc | ManpowerGroup vs. Heidrick Struggles International | ManpowerGroup vs. Korn Ferry | ManpowerGroup 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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