Correlation Between DAX Index and Associated British

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

By analyzing existing cross correlation between DAX Index and Associated British Foods, you can compare the effects of market volatilities on DAX Index and Associated British 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 Associated British. Check out your portfolio center. Please also check ongoing floating volatility patterns of DAX Index and Associated British.

Diversification Opportunities for DAX Index and Associated British

-0.24

Correlation Coefficient

DAX Index  Associated British

Very good diversification

The 3 months correlation between DAX and Associated is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and Associated British Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Associated British Foods 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 Associated British. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Associated British Foods has no effect on the direction of DAX Index i.e., DAX Index and Associated British go up and down completely randomly.

Pair Corralation between DAX Index and Associated British

Assuming the 90 days trading horizon DAX Index is expected to generate 0.47 times more return on investment than Associated British. However, DAX Index is 2.14 times less risky than Associated British. It trades about 0.2 of its potential returns per unit of risk. Associated British Foods is currently generating about 0.0 per unit of risk. If you would invest  2,196,197  in DAX Index on April 23, 2025 and sell it today you would earn a total of  234,583  from holding DAX Index or generate 10.68% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

DAX Index  vs.  Associated British Foods

Pair Trading with DAX Index and Associated British

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

The idea behind DAX Index and Associated British Foods 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 Valuation module to check real value of public entities based on technical and fundamental data.