Correlation Between Barclays PLC and Automatic Data
Can any of the company-specific risk be diversified away by investing in both Barclays PLC 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 Barclays PLC and Automatic Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Barclays PLC and Automatic Data Processing, you can compare the effects of market volatilities on Barclays PLC 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 Barclays PLC with a short position of Automatic Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Barclays PLC and Automatic Data.
Diversification Opportunities for Barclays PLC and Automatic Data
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between Barclays and Automatic is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding Barclays PLC 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 Barclays PLC 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 Barclays PLC 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 Barclays PLC i.e., Barclays PLC and Automatic Data go up and down completely randomly.
Pair Corralation between Barclays PLC and Automatic Data
Assuming the 90 days trading horizon Barclays PLC is expected to generate 0.94 times more return on investment than Automatic Data. However, Barclays PLC is 1.07 times less risky than Automatic Data. It trades about 0.21 of its potential returns per unit of risk. Automatic Data Processing is currently generating about 0.0 per unit of risk. If you would invest 8,720 in Barclays PLC on April 20, 2025 and sell it today you would earn a total of 1,860 from holding Barclays PLC or generate 21.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.41% |
Values | Daily Returns |
Barclays PLC vs. Automatic Data Processing
Performance |
Timeline |
Barclays PLC |
Automatic Data Processing |
Barclays PLC and Automatic Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Barclays PLC and Automatic Data
The main advantage of trading using opposite Barclays PLC and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Barclays PLC 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.Barclays PLC vs. HSBC Holdings plc | Barclays PLC vs. Wells Fargo | Barclays PLC vs. NatWest Group plc | Barclays PLC vs. CVC Brasil Operadora |
Automatic Data vs. Micron Technology | Automatic Data vs. Lumen Technologies, | Automatic Data vs. Marfrig Global Foods | Automatic Data vs. Barclays PLC |
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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