Correlation Between Manhattan Associates and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Manhattan Associates and Dow Jones 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 Manhattan Associates and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Manhattan Associates and Dow Jones Industrial, you can compare the effects of market volatilities on Manhattan Associates and Dow Jones 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 Manhattan Associates with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Manhattan Associates and Dow Jones.
Diversification Opportunities for Manhattan Associates and Dow Jones
-0.24 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Manhattan and Dow is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding Manhattan Associates and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Manhattan Associates 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 Manhattan Associates are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Manhattan Associates i.e., Manhattan Associates and Dow Jones go up and down completely randomly.
Pair Corralation between Manhattan Associates and Dow Jones
Given the investment horizon of 90 days Manhattan Associates is expected to under-perform the Dow Jones. In addition to that, Manhattan Associates is 5.42 times more volatile than Dow Jones Industrial. It trades about -0.18 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about -0.06 per unit of volatility. If you would invest 4,491,065 in Dow Jones Industrial on November 28, 2024 and sell it today you would lose (128,949) from holding Dow Jones Industrial or give up 2.87% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.31% |
Values | Daily Returns |
Manhattan Associates vs. Dow Jones Industrial
Performance |
Timeline |
Manhattan Associates and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Manhattan Associates
Pair trading matchups for Manhattan Associates
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Manhattan Associates and Dow Jones
The main advantage of trading using opposite Manhattan Associates and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Manhattan Associates position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.Manhattan Associates vs. Blackbaud | Manhattan Associates vs. Bentley Systems | Manhattan Associates vs. Paylocity Holdng | Manhattan Associates vs. ANSYS Inc |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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