Correlation Between DAX Index and JABIL CIRCUIT

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

Diversification Opportunities for DAX Index and JABIL CIRCUIT

0.76
  Correlation Coefficient

Poor diversification

The 3 months correlation between DAX and JABIL is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and JABIL CIRCUIT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JABIL CIRCUIT 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 JABIL CIRCUIT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JABIL CIRCUIT has no effect on the direction of DAX Index i.e., DAX Index and JABIL CIRCUIT go up and down completely randomly.
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Pair Corralation between DAX Index and JABIL CIRCUIT

Assuming the 90 days trading horizon DAX Index is expected to generate 2.36 times less return on investment than JABIL CIRCUIT. But when comparing it to its historical volatility, DAX Index is 2.86 times less risky than JABIL CIRCUIT. It trades about 0.08 of its potential returns per unit of risk. JABIL CIRCUIT is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest  6,764  in JABIL CIRCUIT on September 3, 2024 and sell it today you would earn a total of  5,811  from holding JABIL CIRCUIT or generate 85.91% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

DAX Index  vs.  JABIL CIRCUIT

 Performance 
       Timeline  

DAX Index and JABIL CIRCUIT Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with DAX Index and JABIL CIRCUIT

The main advantage of trading using opposite DAX Index and JABIL CIRCUIT positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DAX Index position performs unexpectedly, JABIL CIRCUIT 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 JABIL CIRCUIT will offset losses from the drop in JABIL CIRCUIT's long position.
The idea behind DAX Index and JABIL CIRCUIT 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.

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