Correlation Between Ceragon Networks and DAX Midcap

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

Diversification Opportunities for Ceragon Networks and DAX Midcap

-0.06
  Correlation Coefficient

Good diversification

The 3 months correlation between Ceragon and DAX is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Ceragon Networks and DAX Midcap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DAX Midcap and Ceragon Networks 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 Ceragon Networks are associated (or correlated) with DAX Midcap. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DAX Midcap has no effect on the direction of Ceragon Networks i.e., Ceragon Networks and DAX Midcap go up and down completely randomly.
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Pair Corralation between Ceragon Networks and DAX Midcap

Given the investment horizon of 90 days Ceragon Networks is expected to generate 4.71 times more return on investment than DAX Midcap. However, Ceragon Networks is 4.71 times more volatile than DAX Midcap. It trades about 0.19 of its potential returns per unit of risk. DAX Midcap is currently generating about 0.14 per unit of risk. If you would invest  273.00  in Ceragon Networks on September 8, 2024 and sell it today you would earn a total of  157.00  from holding Ceragon Networks or generate 57.51% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy98.48%
ValuesDaily Returns

Ceragon Networks  vs.  DAX Midcap

 Performance 
       Timeline  

Ceragon Networks and DAX Midcap Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Ceragon Networks and DAX Midcap

The main advantage of trading using opposite Ceragon Networks and DAX Midcap positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ceragon Networks position performs unexpectedly, DAX Midcap 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 DAX Midcap will offset losses from the drop in DAX Midcap's long position.
The idea behind Ceragon Networks and DAX Midcap 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.

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