Correlation Between CAC Next and Kaufman Et

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Can any of the company-specific risk be diversified away by investing in both CAC Next and Kaufman Et 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 CAC Next and Kaufman Et into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CAC Next 20 and Kaufman Et Broad, you can compare the effects of market volatilities on CAC Next and Kaufman Et 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 CAC Next with a short position of Kaufman Et. Check out your portfolio center. Please also check ongoing floating volatility patterns of CAC Next and Kaufman Et.

Diversification Opportunities for CAC Next and Kaufman Et

0.54
  Correlation Coefficient

Very weak diversification

The 3 months correlation between CAC and Kaufman is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding CAC Next 20 and Kaufman Et Broad in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kaufman Et Broad and CAC Next 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 CAC Next 20 are associated (or correlated) with Kaufman Et. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kaufman Et Broad has no effect on the direction of CAC Next i.e., CAC Next and Kaufman Et go up and down completely randomly.
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Pair Corralation between CAC Next and Kaufman Et

Assuming the 90 days trading horizon CAC Next 20 is expected to under-perform the Kaufman Et. But the index apears to be less risky and, when comparing its historical volatility, CAC Next 20 is 1.98 times less risky than Kaufman Et. The index trades about -0.07 of its potential returns per unit of risk. The Kaufman Et Broad is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest  3,215  in Kaufman Et Broad on September 25, 2024 and sell it today you would lose (25.00) from holding Kaufman Et Broad or give up 0.78% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

CAC Next 20  vs.  Kaufman Et Broad

 Performance 
       Timeline  

CAC Next and Kaufman Et Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with CAC Next and Kaufman Et

The main advantage of trading using opposite CAC Next and Kaufman Et positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CAC Next position performs unexpectedly, Kaufman Et 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 Kaufman Et will offset losses from the drop in Kaufman Et's long position.
The idea behind CAC Next 20 and Kaufman Et Broad 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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