Correlation Between DAX Index and DEUTSCHE WOHNEN

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

By analyzing existing cross correlation between DAX Index and DEUTSCHE WOHNEN ADRS12, you can compare the effects of market volatilities on DAX Index and DEUTSCHE WOHNEN 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 DEUTSCHE WOHNEN. Check out your portfolio center. Please also check ongoing floating volatility patterns of DAX Index and DEUTSCHE WOHNEN.

Diversification Opportunities for DAX Index and DEUTSCHE WOHNEN

0.08

Correlation Coefficient

DAX Index  DEUTSCHE WOHNEN

Significant diversification

The 3 months correlation between DAX and DEUTSCHE is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and DEUTSCHE WOHNEN ADRS12 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DEUTSCHE WOHNEN ADRS12 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 DEUTSCHE WOHNEN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DEUTSCHE WOHNEN ADRS12 has no effect on the direction of DAX Index i.e., DAX Index and DEUTSCHE WOHNEN go up and down completely randomly.

Pair Corralation between DAX Index and DEUTSCHE WOHNEN

Assuming the 90 days trading horizon DAX Index is expected to generate 0.35 times more return on investment than DEUTSCHE WOHNEN. However, DAX Index is 2.83 times less risky than DEUTSCHE WOHNEN. It trades about 0.11 of its potential returns per unit of risk. DEUTSCHE WOHNEN ADRS12 is currently generating about -0.08 per unit of risk. If you would invest  1,884,679  in DAX Index on September 23, 2024 and sell it today you would earn a total of  103,796  from holding DAX Index or generate 5.51% return on investment over 90 days.

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

DAX Index  vs.  DEUTSCHE WOHNEN ADRS12

Pair Trading with DAX Index and DEUTSCHE WOHNEN

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

The idea behind DAX Index and DEUTSCHE WOHNEN ADRS12 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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.