Correlation Between MillerKnoll and Automatic Data

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

Diversification Opportunities for MillerKnoll and Automatic Data

-0.66
  Correlation Coefficient

Excellent diversification

The 3 months correlation between MillerKnoll and Automatic is -0.66. Overlapping area represents the amount of risk that can be diversified away by holding MillerKnoll 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 MillerKnoll 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 MillerKnoll 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 MillerKnoll i.e., MillerKnoll and Automatic Data go up and down completely randomly.

Pair Corralation between MillerKnoll and Automatic Data

Given the investment horizon of 90 days MillerKnoll is expected to generate 1.52 times more return on investment than Automatic Data. However, MillerKnoll is 1.52 times more volatile than Automatic Data Processing. It trades about 0.19 of its potential returns per unit of risk. Automatic Data Processing is currently generating about 0.22 per unit of risk. If you would invest  2,360  in MillerKnoll on August 28, 2024 and sell it today you would earn a total of  193.00  from holding MillerKnoll or generate 8.18% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

MillerKnoll  vs.  Automatic Data Processing

 Performance 
       Timeline  
MillerKnoll 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days MillerKnoll has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest weak performance, the Stock's forward-looking signals remain healthy and the recent disarray on Wall Street may also be a sign of long period gains for the firm investors.
Automatic Data Processing 

Risk-Adjusted Performance

14 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Automatic Data Processing are ranked lower than 14 (%) of all global equities and portfolios over the last 90 days. Even with relatively inconsistent fundamental indicators, Automatic Data may actually be approaching a critical reversion point that can send shares even higher in December 2024.

MillerKnoll and Automatic Data Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with MillerKnoll and Automatic Data

The main advantage of trading using opposite MillerKnoll and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MillerKnoll 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 MillerKnoll 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.
Check out your portfolio center.
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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.

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