Correlation Between DAX Index and PT Wintermar

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

Diversification Opportunities for DAX Index and PT Wintermar

-0.49
  Correlation Coefficient

Very good diversification

The 3 months correlation between DAX and W6O is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and PT Wintermar Offshore in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PT Wintermar Offshore 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 PT Wintermar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PT Wintermar Offshore has no effect on the direction of DAX Index i.e., DAX Index and PT Wintermar go up and down completely randomly.
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Pair Corralation between DAX Index and PT Wintermar

Assuming the 90 days trading horizon DAX Index is expected to generate 0.19 times more return on investment than PT Wintermar. However, DAX Index is 5.3 times less risky than PT Wintermar. It trades about 0.0 of its potential returns per unit of risk. PT Wintermar Offshore is currently generating about -0.24 per unit of risk. If you would invest  2,034,596  in DAX Index on October 10, 2024 and sell it today you would lose (1,602) from holding DAX Index or give up 0.08% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

DAX Index  vs.  PT Wintermar Offshore

 Performance 
       Timeline  

DAX Index and PT Wintermar Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with DAX Index and PT Wintermar

The main advantage of trading using opposite DAX Index and PT Wintermar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DAX Index position performs unexpectedly, PT Wintermar 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 PT Wintermar will offset losses from the drop in PT Wintermar's long position.
The idea behind DAX Index and PT Wintermar Offshore 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 Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.

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