Correlation Between Thyssenkrupp and Automatic Data

Can any of the company-specific risk be diversified away by investing in both Thyssenkrupp 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 Thyssenkrupp and Automatic Data into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between thyssenkrupp AG and Automatic Data Processing, you can compare the effects of market volatilities on Thyssenkrupp 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 Thyssenkrupp with a short position of Automatic Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Thyssenkrupp and Automatic Data.

Diversification Opportunities for Thyssenkrupp and Automatic Data

0.0

Correlation Coefficient

Thyssenkrupp  Automatic Data

Pay attention - limited upside

The 3 months correlation between Thyssenkrupp and Automatic is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding thyssenkrupp AG 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 Thyssenkrupp 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 thyssenkrupp AG 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 Thyssenkrupp i.e., Thyssenkrupp and Automatic Data go up and down completely randomly.

Pair Corralation between Thyssenkrupp and Automatic Data

If you would invest  25,661  in Automatic Data Processing on October 6, 2024 and sell it today you would earn a total of  2,679  from holding Automatic Data Processing or generate 10.44% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	0.0%
Values	Daily Returns

thyssenkrupp AG  vs.  Automatic Data Processing

thyssenkrupp AG

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days thyssenkrupp AG has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable basic indicators, Thyssenkrupp is not utilizing all of its potentials. The current stock price uproar, may contribute to short-horizon losses for the private investors.

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 nearly uncertain basic indicators, Automatic Data may actually be approaching a critical reversion point that can send shares even higher in February 2025.

Pair Trading with Thyssenkrupp and Automatic Data

The main advantage of trading using opposite Thyssenkrupp and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Thyssenkrupp 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 thyssenkrupp AG 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.