Correlation Between Automatic Data and Procter Gamble

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

Diversification Opportunities for Automatic Data and Procter Gamble

0.72

Correlation Coefficient

Automatic Data  Procter Gamble

Poor diversification

The 3 months correlation between Automatic and Procter is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Automatic Data Processing and The Procter Gamble in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Procter Gamble 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 Procter Gamble. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Procter Gamble has no effect on the direction of Automatic Data i.e., Automatic Data and Procter Gamble go up and down completely randomly.

Pair Corralation between Automatic Data and Procter Gamble

Assuming the 90 days trading horizon Automatic Data is expected to generate 1.23 times less return on investment than Procter Gamble. But when comparing it to its historical volatility, Automatic Data Processing is 1.39 times less risky than Procter Gamble. It trades about 0.13 of its potential returns per unit of risk. The Procter Gamble is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest  6,909  in The Procter Gamble on September 14, 2024 and sell it today you would earn a total of  271.00  from holding The Procter Gamble or generate 3.92% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	95.0%
Values	Daily Returns

Automatic Data Processing  vs.  The Procter Gamble

Automatic Data Processing

Risk-Adjusted Performance

12 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Automatic Data Processing are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Automatic Data sustained solid returns over the last few months and may actually be approaching a breakup point.

Procter Gamble

Risk-Adjusted Performance

3 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in The Procter Gamble are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. Despite somewhat strong fundamental indicators, Procter Gamble is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Automatic Data and Procter Gamble

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

The idea behind Automatic Data Processing and The Procter Gamble 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.