Correlation Between DAX Index and Allegheny Technologies

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

By analyzing existing cross correlation between DAX Index and Allegheny Technologies Incorporated, you can compare the effects of market volatilities on DAX Index and Allegheny Technologies 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 DAX Index with a short position of Allegheny Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of DAX Index and Allegheny Technologies.

Diversification Opportunities for DAX Index and Allegheny Technologies

0.91

Correlation Coefficient

DAX Index  Allegheny Technologies

Almost no diversification

The 3 months correlation between DAX and Allegheny is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and Allegheny Technologies Incorpo in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Allegheny Technologies and DAX Index 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 DAX Index are associated (or correlated) with Allegheny Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Allegheny Technologies has no effect on the direction of DAX Index i.e., DAX Index and Allegheny Technologies go up and down completely randomly.

Pair Corralation between DAX Index and Allegheny Technologies

Assuming the 90 days trading horizon DAX Index is expected to generate 5.93 times less return on investment than Allegheny Technologies. But when comparing it to its historical volatility, DAX Index is 3.86 times less risky than Allegheny Technologies. It trades about 0.2 of its potential returns per unit of risk. Allegheny Technologies Incorporated is currently generating about 0.3 of returns per unit of risk over similar time horizon. If you would invest  4,414  in Allegheny Technologies Incorporated on April 23, 2025 and sell it today you would earn a total of  3,564  from holding Allegheny Technologies Incorporated or generate 80.74% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Strong
Accuracy	98.44%
Values	Daily Returns

DAX Index  vs.  Allegheny Technologies Incorpo

Pair Trading with DAX Index and Allegheny Technologies

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

The idea behind DAX Index and Allegheny Technologies Incorporated 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.