Correlation Between Block and Automatic Data
Can any of the company-specific risk be diversified away by investing in both Block 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 Block and Automatic Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Block Inc and Automatic Data Processing, you can compare the effects of market volatilities on Block 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 Block with a short position of Automatic Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Block and Automatic Data.
Diversification Opportunities for Block and Automatic Data
0.03 | Correlation Coefficient |
Significant diversification
The 16 months correlation between Block and Automatic is 0.03. Overlapping area represents the amount of risk that can be diversified away by holding Block Inc 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 Block 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 Block Inc 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 Block i.e., Block and Automatic Data go up and down completely randomly.
Pair Corralation between Block and Automatic Data
Allowing for the 90-day total investment horizon Block Inc is expected to under-perform the Automatic Data. In addition to that, Block is 2.86 times more volatile than Automatic Data Processing. It trades about -0.2 of its total potential returns per unit of risk. Automatic Data Processing is currently generating about -0.11 per unit of volatility. If you would invest 24,772 in Automatic Data Processing on January 20, 2024 and sell it today you would lose (573.00) from holding Automatic Data Processing or give up 2.31% of portfolio value over 90 days.
| Time Period | 16 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 95.45% |
| Values | Daily Returns |
Block Inc vs. Automatic Data Processing
Performance |
| Timeline |
| Block Inc |
| Automatic Data Processing |
Block and Automatic Data Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Block and Automatic Data
The main advantage of trading using opposite Block and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Block 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.The idea behind Block Inc and Automatic Data Processing pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Automatic Data vs. ExlService Holdings | Automatic Data vs. WNS Holdings | Automatic Data vs. Gartner | Automatic Data vs. The Hackett Group |
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 Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
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