Correlation Between Seaboard and Automatic Data
Can any of the company-specific risk be diversified away by investing in both Seaboard 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 Seaboard and Automatic Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Seaboard and Automatic Data Processing, you can compare the effects of market volatilities on Seaboard 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 Seaboard with a short position of Automatic Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Seaboard and Automatic Data.
Diversification Opportunities for Seaboard and Automatic Data
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Seaboard and Automatic is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding Seaboard 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 Seaboard 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 Seaboard 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 Seaboard i.e., Seaboard and Automatic Data go up and down completely randomly.
Pair Corralation between Seaboard and Automatic Data
Assuming the 90 days horizon Seaboard is expected to generate 1.12 times more return on investment than Automatic Data. However, Seaboard is 1.12 times more volatile than Automatic Data Processing. It trades about 0.17 of its potential returns per unit of risk. Automatic Data Processing is currently generating about 0.07 per unit of risk. If you would invest 221,799 in Seaboard on April 22, 2025 and sell it today you would earn a total of 40,201 from holding Seaboard or generate 18.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Seaboard vs. Automatic Data Processing
Performance |
Timeline |
Seaboard |
Automatic Data Processing |
Seaboard and Automatic Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Seaboard and Automatic Data
The main advantage of trading using opposite Seaboard and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Seaboard 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.Seaboard vs. TITANIUM TRANSPORTGROUP | Seaboard vs. COLUMBIA SPORTSWEAR | Seaboard vs. Spirent Communications plc | Seaboard vs. Fukuyama Transporting Co |
Automatic Data vs. Fiserv Inc | Automatic Data vs. Fidelity National Information | Automatic Data vs. Experian plc | Automatic Data vs. Global Payments |
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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
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