Correlation Between FAST RETAIL and Automatic Data

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

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

Diversification Opportunities for FAST RETAIL and Automatic Data

0.37

Correlation Coefficient

FAST RETAIL  Automatic Data

Weak diversification

The 3 months correlation between FAST and Automatic is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding FAST RETAIL ADR 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 FAST RETAIL 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 FAST RETAIL ADR 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 FAST RETAIL i.e., FAST RETAIL and Automatic Data go up and down completely randomly.

Pair Corralation between FAST RETAIL and Automatic Data

Assuming the 90 days trading horizon FAST RETAIL is expected to generate 1.38 times less return on investment than Automatic Data. In addition to that, FAST RETAIL is 1.77 times more volatile than Automatic Data Processing. It trades about 0.09 of its total potential returns per unit of risk. Automatic Data Processing is currently generating about 0.22 per unit of volatility. If you would invest  24,268  in Automatic Data Processing on September 30, 2024 and sell it today you would earn a total of  4,072  from holding Automatic Data Processing or generate 16.78% return on investment over 90 days.

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

FAST RETAIL ADR  vs.  Automatic Data Processing

FAST RETAIL ADR

Risk-Adjusted Performance

7 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in FAST RETAIL ADR are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, FAST RETAIL may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Automatic Data Processing

Risk-Adjusted Performance

17 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Automatic Data Processing are ranked lower than 17 (%) 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.

Pair Trading with FAST RETAIL and Automatic Data

The main advantage of trading using opposite FAST RETAIL and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FAST RETAIL 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 FAST RETAIL ADR 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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.