Correlation Between Curtiss Wright and Automatic Data

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

Diversification Opportunities for Curtiss Wright and Automatic Data

0.94
  Correlation Coefficient

Almost no diversification

The 3 months correlation between Curtiss and Automatic is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Curtiss Wright 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 Curtiss Wright 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 Curtiss Wright 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 Curtiss Wright i.e., Curtiss Wright and Automatic Data go up and down completely randomly.

Pair Corralation between Curtiss Wright and Automatic Data

Allowing for the 90-day total investment horizon Curtiss Wright is expected to generate 1.66 times more return on investment than Automatic Data. However, Curtiss Wright is 1.66 times more volatile than Automatic Data Processing. It trades about 0.11 of its potential returns per unit of risk. Automatic Data Processing is currently generating about 0.17 per unit of risk. If you would invest  35,354  in Curtiss Wright on August 31, 2024 and sell it today you would earn a total of  1,783  from holding Curtiss Wright or generate 5.04% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

Curtiss Wright  vs.  Automatic Data Processing

 Performance 
       Timeline  
Curtiss Wright 

Risk-Adjusted Performance

15 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Curtiss Wright are ranked lower than 15 (%) of all global equities and portfolios over the last 90 days. In spite of fairly weak basic indicators, Curtiss Wright showed solid returns over the last few months and may actually be approaching a breakup point.
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.

Curtiss Wright and Automatic Data Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Curtiss Wright and Automatic Data

The main advantage of trading using opposite Curtiss Wright and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Curtiss Wright 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 Curtiss Wright 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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.

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