Correlation Between Automatic Data and Wheaton Precious

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

Diversification Opportunities for Automatic Data and Wheaton Precious

0.2

Correlation Coefficient

Automatic Data  Wheaton Precious

Modest diversification

The 3 months correlation between Automatic and Wheaton is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding Automatic Data Processing and Wheaton Precious Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wheaton Precious Metals 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 Wheaton Precious. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wheaton Precious Metals has no effect on the direction of Automatic Data i.e., Automatic Data and Wheaton Precious go up and down completely randomly.

Pair Corralation between Automatic Data and Wheaton Precious

Assuming the 90 days trading horizon Automatic Data Processing is expected to generate 0.37 times more return on investment than Wheaton Precious. However, Automatic Data Processing is 2.67 times less risky than Wheaton Precious. It trades about -0.17 of its potential returns per unit of risk. Wheaton Precious Metals is currently generating about -0.14 per unit of risk. If you would invest  30,732  in Automatic Data Processing on September 29, 2024 and sell it today you would lose (1,032) from holding Automatic Data Processing or give up 3.36% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	95.24%
Values	Daily Returns

Automatic Data Processing  vs.  Wheaton Precious Metals

Automatic Data Processing

Risk-Adjusted Performance

10 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Automatic Data Processing are ranked lower than 10 (%) 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.

Wheaton Precious Metals

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Wheaton Precious Metals has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound technical and fundamental indicators, Wheaton Precious is not utilizing all of its potentials. The newest stock price tumult, may contribute to shorter-term losses for the shareholders.

Pair Trading with Automatic Data and Wheaton Precious

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

The idea behind Automatic Data Processing and Wheaton Precious Metals 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 Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.