Correlation Between Credit Suisse and Automatic Data
Can any of the company-specific risk be diversified away by investing in both Credit Suisse 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 Credit Suisse and Automatic Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Credit Suisse X Links and Automatic Data Processing, you can compare the effects of market volatilities on Credit Suisse 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 Credit Suisse with a short position of Automatic Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Credit Suisse and Automatic Data.
Diversification Opportunities for Credit Suisse and Automatic Data
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Credit and Automatic is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Credit Suisse X Links 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 Credit Suisse 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 Credit Suisse X Links 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 Credit Suisse i.e., Credit Suisse and Automatic Data go up and down completely randomly.
Pair Corralation between Credit Suisse and Automatic Data
Given the investment horizon of 90 days Credit Suisse X Links is expected to generate 1.19 times more return on investment than Automatic Data. However, Credit Suisse is 1.19 times more volatile than Automatic Data Processing. It trades about -0.04 of its potential returns per unit of risk. Automatic Data Processing is currently generating about -0.17 per unit of risk. If you would invest 5,021 in Credit Suisse X Links on July 25, 2025 and sell it today you would lose (176.00) from holding Credit Suisse X Links or give up 3.51% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Credit Suisse X Links vs. Automatic Data Processing
Performance |
Timeline |
Credit Suisse X |
Automatic Data Processing |
Credit Suisse and Automatic Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Credit Suisse and Automatic Data
The main advantage of trading using opposite Credit Suisse and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Credit Suisse 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.Credit Suisse vs. US Treasury 12 | Credit Suisse vs. Innovator SP 500 | Credit Suisse vs. First Trust Exchange Traded | Credit Suisse vs. iShares Bloomberg Roll |
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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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
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