Correlation Between DAX Index and Central Japan

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

Diversification Opportunities for DAX Index and Central Japan

0.64
  Correlation Coefficient

Poor diversification

The 3 months correlation between DAX and Central is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and Central Japan Railway in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Central Japan Railway 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 Central Japan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Central Japan Railway has no effect on the direction of DAX Index i.e., DAX Index and Central Japan go up and down completely randomly.
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Pair Corralation between DAX Index and Central Japan

Assuming the 90 days trading horizon DAX Index is expected to generate 0.52 times more return on investment than Central Japan. However, DAX Index is 1.91 times less risky than Central Japan. It trades about 0.23 of its potential returns per unit of risk. Central Japan Railway is currently generating about 0.04 per unit of risk. If you would invest  2,129,353  in DAX Index on April 20, 2025 and sell it today you would earn a total of  299,598  from holding DAX Index or generate 14.07% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy98.44%
ValuesDaily Returns

DAX Index  vs.  Central Japan Railway

 Performance 
       Timeline  

DAX Index and Central Japan Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with DAX Index and Central Japan

The main advantage of trading using opposite DAX Index and Central Japan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DAX Index position performs unexpectedly, Central Japan 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 Central Japan will offset losses from the drop in Central Japan's long position.
The idea behind DAX Index and Central Japan Railway 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 Transaction History module to view history of all your transactions and understand their impact on performance.

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