Correlation Between DATA MODUL and Automatic Data
Can any of the company-specific risk be diversified away by investing in both DATA MODUL 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 DATA MODUL and Automatic Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DATA MODUL and Automatic Data Processing, you can compare the effects of market volatilities on DATA MODUL 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 DATA MODUL with a short position of Automatic Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of DATA MODUL and Automatic Data.
Diversification Opportunities for DATA MODUL and Automatic Data
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between DATA and Automatic is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding DATA MODUL 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 DATA MODUL 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 DATA MODUL 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 DATA MODUL i.e., DATA MODUL and Automatic Data go up and down completely randomly.
Pair Corralation between DATA MODUL and Automatic Data
Assuming the 90 days trading horizon DATA MODUL is expected to generate 1.73 times more return on investment than Automatic Data. However, DATA MODUL is 1.73 times more volatile than Automatic Data Processing. It trades about -0.01 of its potential returns per unit of risk. Automatic Data Processing is currently generating about -0.04 per unit of risk. If you would invest 2,680 in DATA MODUL on December 21, 2024 and sell it today you would lose (80.00) from holding DATA MODUL or give up 2.99% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.33% |
Values | Daily Returns |
DATA MODUL vs. Automatic Data Processing
Performance |
Timeline |
DATA MODUL |
Automatic Data Processing |
DATA MODUL and Automatic Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DATA MODUL and Automatic Data
The main advantage of trading using opposite DATA MODUL and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DATA MODUL 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.DATA MODUL vs. SOEDER SPORTFISKE AB | DATA MODUL vs. SCIENCE IN SPORT | DATA MODUL vs. SCANSOURCE | DATA MODUL vs. EPSILON HEALTHCARE LTD |
Automatic Data vs. KIMBALL ELECTRONICS | Automatic Data vs. AOI Electronics Co | Automatic Data vs. Zijin Mining Group | Automatic Data vs. Meiko Electronics Co |
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 Center module to all portfolio management and optimization tools to improve performance of your portfolios.
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