Correlation Between Carnegie Clean and Automatic Data

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

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

Diversification Opportunities for Carnegie Clean and Automatic Data

0.19

Correlation Coefficient

Carnegie Clean  Automatic Data

Average diversification

The 3 months correlation between Carnegie and Automatic is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Carnegie Clean Energy 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 Carnegie Clean 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 Carnegie Clean Energy 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 Carnegie Clean i.e., Carnegie Clean and Automatic Data go up and down completely randomly.

Pair Corralation between Carnegie Clean and Automatic Data

Assuming the 90 days trading horizon Carnegie Clean Energy is expected to under-perform the Automatic Data. In addition to that, Carnegie Clean is 3.68 times more volatile than Automatic Data Processing. It trades about -0.02 of its total potential returns per unit of risk. Automatic Data Processing is currently generating about 0.1 per unit of volatility. If you would invest  28,326  in Automatic Data Processing on December 5, 2024 and sell it today you would earn a total of  1,949  from holding Automatic Data Processing or generate 6.88% return on investment over 90 days.

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

Carnegie Clean Energy  vs.  Automatic Data Processing

Carnegie Clean Energy

Risk-Adjusted Performance

Very Weak

Over the last 90 days Carnegie Clean Energy has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable primary indicators, Carnegie Clean 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

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Automatic Data Processing are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. Despite nearly uncertain basic indicators, Automatic Data may actually be approaching a critical reversion point that can send shares even higher in April 2025.

Pair Trading with Carnegie Clean and Automatic Data

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

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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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.