Correlation Between Wheaton Precious and Automatic Data

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Can any of the company-specific risk be diversified away by investing in both Wheaton Precious 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 Wheaton Precious and Automatic Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wheaton Precious Metals and Automatic Data Processing, you can compare the effects of market volatilities on Wheaton Precious 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 Wheaton Precious with a short position of Automatic Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wheaton Precious and Automatic Data.

Diversification Opportunities for Wheaton Precious and Automatic Data

0.16
  Correlation Coefficient

Average diversification

The 3 months correlation between Wheaton and Automatic is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Wheaton Precious Metals 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 Wheaton Precious 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 Wheaton Precious Metals 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 Wheaton Precious i.e., Wheaton Precious and Automatic Data go up and down completely randomly.

Pair Corralation between Wheaton Precious and Automatic Data

Assuming the 90 days trading horizon Wheaton Precious is expected to generate 2.24 times less return on investment than Automatic Data. But when comparing it to its historical volatility, Wheaton Precious Metals is 2.46 times less risky than Automatic Data. It trades about 0.04 of its potential returns per unit of risk. Automatic Data Processing is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest  21,541  in Automatic Data Processing on October 26, 2024 and sell it today you would earn a total of  8,244  from holding Automatic Data Processing or generate 38.27% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy99.2%
ValuesDaily Returns

Wheaton Precious Metals  vs.  Automatic Data Processing

 Performance 
       Timeline  
Wheaton Precious Metals 

Risk-Adjusted Performance

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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 latest uncertain performance, the Stock's technical and fundamental indicators remain sound and the latest tumult on Wall Street may also be a sign of longer-term gains for the firm shareholders.
Automatic Data Processing 

Risk-Adjusted Performance

5 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in Automatic Data Processing are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively stable basic indicators, Automatic Data is not utilizing all of its potentials. The newest stock price uproar, may contribute to short-horizon losses for the private investors.

Wheaton Precious and Automatic Data Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Wheaton Precious and Automatic Data

The main advantage of trading using opposite Wheaton Precious and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wheaton Precious 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 Wheaton Precious Metals 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 Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.

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