Correlation Between Global X and Automatic Data
Can any of the company-specific risk be diversified away by investing in both Global X 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 Global X and Automatic Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Global X Funds and Automatic Data Processing, you can compare the effects of market volatilities on Global X 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 Global X with a short position of Automatic Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Global X and Automatic Data.
Diversification Opportunities for Global X and Automatic Data
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Global and Automatic is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Global X Funds 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 Global X 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 Global X Funds 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 Global X i.e., Global X and Automatic Data go up and down completely randomly.
Pair Corralation between Global X and Automatic Data
Assuming the 90 days trading horizon Global X is expected to generate 1.28 times less return on investment than Automatic Data. But when comparing it to its historical volatility, Global X Funds is 1.08 times less risky than Automatic Data. It trades about 0.16 of its potential returns per unit of risk. Automatic Data Processing is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 6,404 in Automatic Data Processing on September 3, 2024 and sell it today you would earn a total of 1,252 from holding Automatic Data Processing or generate 19.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Global X Funds vs. Automatic Data Processing
Performance |
Timeline |
Global X Funds |
Automatic Data Processing |
Global X and Automatic Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Global X and Automatic Data
The main advantage of trading using opposite Global X and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global X 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.Global X vs. Mitsubishi UFJ Financial | Global X vs. Sumitomo Mitsui Financial | Global X vs. Autohome | Global X vs. Bread Financial Holdings |
Automatic Data vs. Fundo Investimento Imobiliario | Automatic Data vs. Fras le SA | Automatic Data vs. Western Digital | Automatic Data vs. Clave Indices De |
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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