Correlation Between Automatic Data and Verisk Analytics

Can any of the company-specific risk be diversified away by investing in both Automatic Data and Verisk Analytics 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 Verisk Analytics 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 Verisk Analytics, you can compare the effects of market volatilities on Automatic Data and Verisk Analytics 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 Verisk Analytics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Automatic Data and Verisk Analytics.

Diversification Opportunities for Automatic Data and Verisk Analytics

0.94

Correlation Coefficient

Automatic Data  Verisk Analytics

Almost no diversification

The 3 months correlation between Automatic and Verisk is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Automatic Data Processing and Verisk Analytics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Verisk Analytics 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 Verisk Analytics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Verisk Analytics has no effect on the direction of Automatic Data i.e., Automatic Data and Verisk Analytics go up and down completely randomly.

Pair Corralation between Automatic Data and Verisk Analytics

Assuming the 90 days horizon Automatic Data Processing is expected to generate 0.87 times more return on investment than Verisk Analytics. However, Automatic Data Processing is 1.15 times less risky than Verisk Analytics. It trades about 0.19 of its potential returns per unit of risk. Verisk Analytics is currently generating about 0.14 per unit of risk. If you would invest  24,920  in Automatic Data Processing on September 18, 2024 and sell it today you would earn a total of  3,570  from holding Automatic Data Processing or generate 14.33% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Strong
Accuracy	98.46%
Values	Daily Returns

Automatic Data Processing  vs.  Verisk Analytics

Automatic Data Processing

Risk-Adjusted Performance

15 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Automatic Data Processing are ranked lower than 15 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, Automatic Data reported solid returns over the last few months and may actually be approaching a breakup point.

Verisk Analytics

Risk-Adjusted Performance

11 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Verisk Analytics are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, Verisk Analytics may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Pair Trading with Automatic Data and Verisk Analytics

The main advantage of trading using opposite Automatic Data and Verisk Analytics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Automatic Data position performs unexpectedly, Verisk Analytics 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 Verisk Analytics will offset losses from the drop in Verisk Analytics' long position.

The idea behind Automatic Data Processing and Verisk Analytics 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.

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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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.