Correlation Between Aramark Holdings and Teleperformance
Can any of the company-specific risk be diversified away by investing in both Aramark Holdings and Teleperformance 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 Aramark Holdings and Teleperformance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aramark Holdings and Teleperformance SE, you can compare the effects of market volatilities on Aramark Holdings and Teleperformance 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 Aramark Holdings with a short position of Teleperformance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aramark Holdings and Teleperformance.
Diversification Opportunities for Aramark Holdings and Teleperformance
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Aramark and Teleperformance is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding Aramark Holdings and Teleperformance SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Teleperformance SE and Aramark Holdings 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 Aramark Holdings are associated (or correlated) with Teleperformance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Teleperformance SE has no effect on the direction of Aramark Holdings i.e., Aramark Holdings and Teleperformance go up and down completely randomly.
Pair Corralation between Aramark Holdings and Teleperformance
Given the investment horizon of 90 days Aramark Holdings is expected to generate 0.59 times more return on investment than Teleperformance. However, Aramark Holdings is 1.7 times less risky than Teleperformance. It trades about 0.08 of its potential returns per unit of risk. Teleperformance SE is currently generating about -0.08 per unit of risk. If you would invest 3,728 in Aramark Holdings on September 5, 2024 and sell it today you would earn a total of 292.00 from holding Aramark Holdings or generate 7.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Aramark Holdings vs. Teleperformance SE
Performance |
Timeline |
Aramark Holdings |
Teleperformance SE |
Aramark Holdings and Teleperformance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aramark Holdings and Teleperformance
The main advantage of trading using opposite Aramark Holdings and Teleperformance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aramark Holdings position performs unexpectedly, Teleperformance 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 Teleperformance will offset losses from the drop in Teleperformance's long position.Aramark Holdings vs. Civeo Corp | Aramark Holdings vs. ABM Industries Incorporated | Aramark Holdings vs. ADM Endeavors | Aramark Holdings vs. Maximus |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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