Correlation Between Intel and Automatic Data
Can any of the company-specific risk be diversified away by investing in both Intel 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 Intel and Automatic Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Intel and Automatic Data Processing, you can compare the effects of market volatilities on Intel 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 Intel with a short position of Automatic Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Intel and Automatic Data.
Diversification Opportunities for Intel and Automatic Data
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Intel and Automatic is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Intel 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 Intel 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 Intel 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 Intel i.e., Intel and Automatic Data go up and down completely randomly.
Pair Corralation between Intel and Automatic Data
Assuming the 90 days trading horizon Intel is expected to under-perform the Automatic Data. In addition to that, Intel is 3.23 times more volatile than Automatic Data Processing. It trades about -0.02 of its total potential returns per unit of risk. Automatic Data Processing is currently generating about 0.18 per unit of volatility. If you would invest 22,272 in Automatic Data Processing on September 1, 2024 and sell it today you would earn a total of 6,838 from holding Automatic Data Processing or generate 30.7% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Intel vs. Automatic Data Processing
Performance |
| Timeline |
| Intel |
| Automatic Data Processing |
Intel and Automatic Data Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Intel and Automatic Data
The main advantage of trading using opposite Intel and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Intel 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.| Intel vs. PARKEN Sport Entertainment | Intel vs. ARDAGH METAL PACDL 0001 | Intel vs. Columbia Sportswear | Intel vs. POWER METALS |
| Automatic Data vs. Global Ship Lease | Automatic Data vs. BOSTON BEER A | Automatic Data vs. National Beverage Corp | Automatic Data vs. Digilife Technologies Limited |
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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
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