Correlation Between DAX Index and Gemfields Group

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

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

Diversification Opportunities for DAX Index and Gemfields Group

-0.69

Correlation Coefficient

DAX Index  Gemfields Group

Excellent diversification

The 3 months correlation between DAX and Gemfields is -0.69. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and Gemfields Group Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gemfields Group 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 Gemfields Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gemfields Group has no effect on the direction of DAX Index i.e., DAX Index and Gemfields Group go up and down completely randomly.

Pair Corralation between DAX Index and Gemfields Group

Assuming the 90 days trading horizon DAX Index is expected to generate 0.11 times more return on investment than Gemfields Group. However, DAX Index is 9.14 times less risky than Gemfields Group. It trades about 0.3 of its potential returns per unit of risk. Gemfields Group Limited is currently generating about -0.28 per unit of risk. If you would invest  1,900,478  in DAX Index on September 21, 2024 and sell it today you would earn a total of  87,997  from holding DAX Index or generate 4.63% return on investment over 90 days.

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

DAX Index  vs.  Gemfields Group Limited

Pair Trading with DAX Index and Gemfields Group

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

The idea behind DAX Index and Gemfields Group 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.

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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 Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.