Correlation Between DAX Index and Continental

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Can any of the company-specific risk be diversified away by investing in both DAX Index and Continental 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 Continental into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DAX Index and Camden Property Trust, you can compare the effects of market volatilities on DAX Index and Continental 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 Continental. Check out your portfolio center. Please also check ongoing floating volatility patterns of DAX Index and Continental.

Diversification Opportunities for DAX Index and Continental

0.17
  Correlation Coefficient

Average diversification

The 3 months correlation between DAX and Continental is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and Camden Property Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Camden Property Trust 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 Continental. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Camden Property Trust has no effect on the direction of DAX Index i.e., DAX Index and Continental go up and down completely randomly.
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Pair Corralation between DAX Index and Continental

Assuming the 90 days trading horizon DAX Index is expected to generate 0.57 times more return on investment than Continental. However, DAX Index is 1.76 times less risky than Continental. It trades about 0.08 of its potential returns per unit of risk. Camden Property Trust is currently generating about 0.02 per unit of risk. If you would invest  1,510,295  in DAX Index on October 12, 2024 and sell it today you would earn a total of  511,184  from holding DAX Index or generate 33.85% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

DAX Index  vs.  Camden Property Trust

 Performance 
       Timeline  

DAX Index and Continental Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with DAX Index and Continental

The main advantage of trading using opposite DAX Index and Continental positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DAX Index position performs unexpectedly, Continental 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 Continental will offset losses from the drop in Continental's long position.
The idea behind DAX Index and Camden Property Trust 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 Bonds Directory module to find actively traded corporate debentures issued by US companies.

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