Correlation Between DAX Index and Berkeley Energia

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

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

Diversification Opportunities for DAX Index and Berkeley Energia

-0.18

Correlation Coefficient

DAX Index  Berkeley Energia

Good diversification

The 3 months correlation between DAX and Berkeley is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and Berkeley Energia Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Berkeley Energia 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 Berkeley Energia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Berkeley Energia has no effect on the direction of DAX Index i.e., DAX Index and Berkeley Energia go up and down completely randomly.

Pair Corralation between DAX Index and Berkeley Energia

Assuming the 90 days trading horizon DAX Index is expected to generate 0.18 times more return on investment than Berkeley Energia. However, DAX Index is 5.65 times less risky than Berkeley Energia. It trades about 0.23 of its potential returns per unit of risk. Berkeley Energia Limited is currently generating about 0.02 per unit of risk. If you would invest  2,129,353  in DAX Index on April 22, 2025 and sell it today you would earn a total of  299,598  from holding DAX Index or generate 14.07% 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.  Berkeley Energia Limited

Pair Trading with DAX Index and Berkeley Energia

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

The idea behind DAX Index and Berkeley Energia Limited 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.