Correlation Between Automatic Data and Metro Bank
Can any of the company-specific risk be diversified away by investing in both Automatic Data and Metro Bank 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 Metro Bank 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 Metro Bank PLC, you can compare the effects of market volatilities on Automatic Data and Metro Bank 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 Metro Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Automatic Data and Metro Bank.
Diversification Opportunities for Automatic Data and Metro Bank
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Automatic and Metro is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Automatic Data Processing and Metro Bank PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Metro Bank PLC 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 Metro Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Metro Bank PLC has no effect on the direction of Automatic Data i.e., Automatic Data and Metro Bank go up and down completely randomly.
Pair Corralation between Automatic Data and Metro Bank
Assuming the 90 days trading horizon Automatic Data is expected to generate 9.53 times less return on investment than Metro Bank. But when comparing it to its historical volatility, Automatic Data Processing is 2.87 times less risky than Metro Bank. It trades about 0.06 of its potential returns per unit of risk. Metro Bank PLC is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 9,260 in Metro Bank PLC on April 23, 2025 and sell it today you would earn a total of 3,780 from holding Metro Bank PLC or generate 40.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.41% |
Values | Daily Returns |
Automatic Data Processing vs. Metro Bank PLC
Performance |
Timeline |
Automatic Data Processing |
Metro Bank PLC |
Automatic Data and Metro Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Automatic Data and Metro Bank
The main advantage of trading using opposite Automatic Data and Metro Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Automatic Data position performs unexpectedly, Metro Bank 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 Metro Bank will offset losses from the drop in Metro Bank's long position.Automatic Data vs. Coor Service Management | Automatic Data vs. Sunny Optical Technology | Automatic Data vs. Check Point Software | Automatic Data vs. Tatton Asset Management |
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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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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