Correlation Between Alfa Financial and Automatic Data

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

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

Diversification Opportunities for Alfa Financial and Automatic Data

0.69

Correlation Coefficient

Alfa Financial  Automatic Data

Poor diversification

The 3 months correlation between Alfa and Automatic is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Alfa Financial Software 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 Alfa Financial 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 Alfa Financial Software 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 Alfa Financial i.e., Alfa Financial and Automatic Data go up and down completely randomly.

Pair Corralation between Alfa Financial and Automatic Data

Assuming the 90 days trading horizon Alfa Financial Software is expected to generate 2.03 times more return on investment than Automatic Data. However, Alfa Financial is 2.03 times more volatile than Automatic Data Processing. It trades about 0.08 of its potential returns per unit of risk. Automatic Data Processing is currently generating about 0.14 per unit of risk. If you would invest  20,718  in Alfa Financial Software on September 13, 2024 and sell it today you would earn a total of  1,832  from holding Alfa Financial Software or generate 8.84% return on investment over 90 days.

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

Alfa Financial Software  vs.  Automatic Data Processing

Alfa Financial Software

Risk-Adjusted Performance

5 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Alfa Financial Software are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain basic indicators, Alfa Financial may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Automatic Data Processing

Risk-Adjusted Performance

11 of 100

Good

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

Pair Trading with Alfa Financial and Automatic Data

The main advantage of trading using opposite Alfa Financial and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alfa Financial 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 Alfa Financial Software 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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.