Correlation Between DAX Index and Select Energy

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

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

Diversification Opportunities for DAX Index and Select Energy

0.45

Correlation Coefficient

DAX Index  Select Energy

Very weak diversification

The 3 months correlation between DAX and Select is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and Select Energy Services in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Select Energy Services 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 Select Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Select Energy Services has no effect on the direction of DAX Index i.e., DAX Index and Select Energy go up and down completely randomly.

Pair Corralation between DAX Index and Select Energy

Assuming the 90 days trading horizon DAX Index is expected to under-perform the Select Energy. But the index apears to be less risky and, when comparing its historical volatility, DAX Index is 5.99 times less risky than Select Energy. The index trades about -0.06 of its potential returns per unit of risk. The Select Energy Services is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest  1,335  in Select Energy Services on October 9, 2024 and sell it today you would earn a total of  3.00  from holding Select Energy Services or generate 0.22% return on investment over 90 days.

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

DAX Index  vs.  Select Energy Services

Pair Trading with DAX Index and Select Energy

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

The idea behind DAX Index and Select Energy Services 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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.