Correlation Between Automatic Data and McDonalds
Can any of the company-specific risk be diversified away by investing in both Automatic Data and McDonalds 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 McDonalds 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 McDonalds, you can compare the effects of market volatilities on Automatic Data and McDonalds 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 McDonalds. Check out your portfolio center. Please also check ongoing floating volatility patterns of Automatic Data and McDonalds.
Diversification Opportunities for Automatic Data and McDonalds
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Automatic and McDonalds is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Automatic Data Processing and McDonalds in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on McDonalds 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 McDonalds. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of McDonalds has no effect on the direction of Automatic Data i.e., Automatic Data and McDonalds go up and down completely randomly.
Pair Corralation between Automatic Data and McDonalds
Assuming the 90 days horizon Automatic Data Processing is expected to under-perform the McDonalds. But the stock apears to be less risky and, when comparing its historical volatility, Automatic Data Processing is 1.02 times less risky than McDonalds. The stock trades about -0.04 of its potential returns per unit of risk. The McDonalds is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 27,779 in McDonalds on December 23, 2024 and sell it today you would earn a total of 346.00 from holding McDonalds or generate 1.25% 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. McDonalds
Performance |
Timeline |
Automatic Data Processing |
McDonalds |
Automatic Data and McDonalds Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Automatic Data and McDonalds
The main advantage of trading using opposite Automatic Data and McDonalds positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Automatic Data position performs unexpectedly, McDonalds 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 McDonalds will offset losses from the drop in McDonalds' long position.Automatic Data vs. CN MODERN DAIRY | Automatic Data vs. Ebro Foods SA | Automatic Data vs. VARIOUS EATERIES LS | Automatic Data vs. CeoTronics AG |
McDonalds vs. MOBILE FACTORY INC | McDonalds vs. ecotel communication ag | McDonalds vs. JAPAN AIRLINES | McDonalds vs. AEGEAN AIRLINES |
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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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