Correlation Between Workday and Manhattan Associates
Can any of the company-specific risk be diversified away by investing in both Workday and Manhattan Associates 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 Workday and Manhattan Associates into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Workday and Manhattan Associates, you can compare the effects of market volatilities on Workday and Manhattan Associates 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 Workday with a short position of Manhattan Associates. Check out your portfolio center. Please also check ongoing floating volatility patterns of Workday and Manhattan Associates.
Diversification Opportunities for Workday and Manhattan Associates
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Workday and Manhattan is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Workday and Manhattan Associates in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Manhattan Associates and Workday 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 Workday are associated (or correlated) with Manhattan Associates. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Manhattan Associates has no effect on the direction of Workday i.e., Workday and Manhattan Associates go up and down completely randomly.
Pair Corralation between Workday and Manhattan Associates
Given the investment horizon of 90 days Workday is expected to generate 1.0 times more return on investment than Manhattan Associates. However, Workday is 1.0 times more volatile than Manhattan Associates. It trades about 0.08 of its potential returns per unit of risk. Manhattan Associates is currently generating about 0.06 per unit of risk. If you would invest 22,472 in Workday on September 27, 2024 and sell it today you would earn a total of 4,432 from holding Workday or generate 19.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Workday vs. Manhattan Associates
Performance |
Timeline |
Workday |
Manhattan Associates |
Workday and Manhattan Associates Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Workday and Manhattan Associates
The main advantage of trading using opposite Workday and Manhattan Associates positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Workday position performs unexpectedly, Manhattan Associates 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 Manhattan Associates will offset losses from the drop in Manhattan Associates' long position.Workday vs. Dubber Limited | Workday vs. Advanced Health Intelligence | Workday vs. Danavation Technologies Corp | Workday vs. BASE Inc |
Manhattan Associates vs. Dubber Limited | Manhattan Associates vs. Advanced Health Intelligence | Manhattan Associates vs. Danavation Technologies Corp | Manhattan Associates vs. BASE Inc |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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