Correlation Between Verisk Analytics and Automatic Data

Can any of the company-specific risk be diversified away by investing in both Verisk Analytics 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 Verisk Analytics and Automatic Data into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Verisk Analytics and Automatic Data Processing, you can compare the effects of market volatilities on Verisk Analytics 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 Verisk Analytics with a short position of Automatic Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Verisk Analytics and Automatic Data.

Diversification Opportunities for Verisk Analytics and Automatic Data

0.87

Correlation Coefficient

Verisk Analytics  Automatic Data

Very poor diversification

The 3 months correlation between Verisk and Automatic is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Verisk Analytics 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 Verisk Analytics 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 Verisk Analytics 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 Verisk Analytics i.e., Verisk Analytics and Automatic Data go up and down completely randomly.

Pair Corralation between Verisk Analytics and Automatic Data

Assuming the 90 days trading horizon Verisk Analytics is expected to generate 2.86 times less return on investment than Automatic Data. In addition to that, Verisk Analytics is 1.17 times more volatile than Automatic Data Processing. It trades about 0.01 of its total potential returns per unit of risk. Automatic Data Processing is currently generating about 0.03 per unit of volatility. If you would invest  25,664  in Automatic Data Processing on April 24, 2025 and sell it today you would earn a total of  436.00  from holding Automatic Data Processing or generate 1.7% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	100.0%
Values	Daily Returns

Verisk Analytics  vs.  Automatic Data Processing

Verisk Analytics

Risk-Adjusted Performance

Very Weak

Over the last 90 days Verisk Analytics has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, Verisk Analytics is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.

Automatic Data Processing

Risk-Adjusted Performance

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Automatic Data Processing are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. Despite nearly stable basic indicators, Automatic Data is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.

Pair Trading with Verisk Analytics and Automatic Data

The main advantage of trading using opposite Verisk Analytics and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Verisk Analytics 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 Verisk Analytics 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.

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 Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.