Correlation Between DAX Index and Stock Exchange

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

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

Diversification Opportunities for DAX Index and Stock Exchange

0.65

Correlation Coefficient

DAX Index  Stock Exchange

Poor diversification

The 3 months correlation between DAX and Stock is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and Stock Exchange Of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stock Exchange 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 Stock Exchange. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stock Exchange has no effect on the direction of DAX Index i.e., DAX Index and Stock Exchange go up and down completely randomly.

Pair Corralation between DAX Index and Stock Exchange

Assuming the 90 days trading horizon DAX Index is expected to generate 1.24 times less return on investment than Stock Exchange. In addition to that, DAX Index is 1.18 times more volatile than Stock Exchange Of. It trades about 0.05 of its total potential returns per unit of risk. Stock Exchange Of is currently generating about 0.08 per unit of volatility. If you would invest  133,732  in Stock Exchange Of on September 1, 2024 and sell it today you would earn a total of  9,022  from holding Stock Exchange Of or generate 6.75% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	95.38%
Values	Daily Returns

DAX Index  vs.  Stock Exchange Of

Pair Trading with DAX Index and Stock Exchange

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

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