Correlation Between Automatic Data and Rock Tech
Can any of the company-specific risk be diversified away by investing in both Automatic Data and Rock Tech 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 Automatic Data and Rock Tech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Automatic Data Processing and Rock Tech Lithium, you can compare the effects of market volatilities on Automatic Data and Rock Tech 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 Automatic Data with a short position of Rock Tech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Automatic Data and Rock Tech.
Diversification Opportunities for Automatic Data and Rock Tech
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Automatic and Rock is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding Automatic Data Processing and Rock Tech Lithium in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Rock Tech Lithium and Automatic Data 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 Automatic Data Processing are associated (or correlated) with Rock Tech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Rock Tech Lithium has no effect on the direction of Automatic Data i.e., Automatic Data and Rock Tech go up and down completely randomly.
Pair Corralation between Automatic Data and Rock Tech
Assuming the 90 days horizon Automatic Data Processing is expected to generate 0.27 times more return on investment than Rock Tech. However, Automatic Data Processing is 3.76 times less risky than Rock Tech. It trades about 0.05 of its potential returns per unit of risk. Rock Tech Lithium is currently generating about -0.02 per unit of risk. If you would invest 21,590 in Automatic Data Processing on September 19, 2024 and sell it today you would earn a total of 6,715 from holding Automatic Data Processing or generate 31.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Automatic Data Processing vs. Rock Tech Lithium
Performance |
Timeline |
Automatic Data Processing |
Rock Tech Lithium |
Automatic Data and Rock Tech Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Automatic Data and Rock Tech
The main advantage of trading using opposite Automatic Data and Rock Tech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Automatic Data position performs unexpectedly, Rock Tech 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 Rock Tech will offset losses from the drop in Rock Tech's long position.Automatic Data vs. Insurance Australia Group | Automatic Data vs. National Storage Affiliates | Automatic Data vs. Goosehead Insurance | Automatic Data vs. Selective Insurance Group |
Rock Tech vs. Automatic Data Processing | Rock Tech vs. EBRO FOODS | Rock Tech vs. Cal Maine Foods | Rock Tech vs. Datang International Power |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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