Correlation Between Automatic Data and TERADATA
Can any of the company-specific risk be diversified away by investing in both Automatic Data and TERADATA 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 TERADATA 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 TERADATA, you can compare the effects of market volatilities on Automatic Data and TERADATA 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 TERADATA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Automatic Data and TERADATA.
Diversification Opportunities for Automatic Data and TERADATA
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Automatic and TERADATA is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Automatic Data Processing and TERADATA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TERADATA 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 TERADATA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TERADATA has no effect on the direction of Automatic Data i.e., Automatic Data and TERADATA go up and down completely randomly.
Pair Corralation between Automatic Data and TERADATA
Assuming the 90 days horizon Automatic Data Processing is expected to generate 0.62 times more return on investment than TERADATA. However, Automatic Data Processing is 1.62 times less risky than TERADATA. It trades about 0.14 of its potential returns per unit of risk. TERADATA is currently generating about -0.01 per unit of risk. If you would invest 22,931 in Automatic Data Processing on September 23, 2024 and sell it today you would earn a total of 5,284 from holding Automatic Data Processing or generate 23.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Automatic Data Processing vs. TERADATA
Performance |
Timeline |
Automatic Data Processing |
TERADATA |
Automatic Data and TERADATA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Automatic Data and TERADATA
The main advantage of trading using opposite Automatic Data and TERADATA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Automatic Data position performs unexpectedly, TERADATA 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 TERADATA will offset losses from the drop in TERADATA's long position.Automatic Data vs. Fiserv Inc | Automatic Data vs. Paychex | Automatic Data vs. Experian plc | Automatic Data vs. Verisk Analytics |
TERADATA vs. HANOVER INSURANCE | TERADATA vs. ATRYS HEALTH SA | TERADATA vs. INSURANCE AUST GRP | TERADATA vs. Cardinal Health |
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 Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.
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