Correlation Between DICKER DATA and KAGA EL

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

Diversification Opportunities for DICKER DATA and KAGA EL

0.77
  Correlation Coefficient

Poor diversification

The 3 months correlation between DICKER and KAGA is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding DICKER DATA LTD and KAGA EL LTD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KAGA EL LTD and DICKER DATA 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 DICKER DATA LTD are associated (or correlated) with KAGA EL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KAGA EL LTD has no effect on the direction of DICKER DATA i.e., DICKER DATA and KAGA EL go up and down completely randomly.

Pair Corralation between DICKER DATA and KAGA EL

Assuming the 90 days horizon DICKER DATA LTD is expected to under-perform the KAGA EL. In addition to that, DICKER DATA is 1.47 times more volatile than KAGA EL LTD. It trades about -0.04 of its total potential returns per unit of risk. KAGA EL LTD is currently generating about -0.02 per unit of volatility. If you would invest  1,650  in KAGA EL LTD on September 3, 2024 and sell it today you would lose (30.00) from holding KAGA EL LTD or give up 1.82% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

DICKER DATA LTD  vs.  KAGA EL LTD

 Performance 
       Timeline  
DICKER DATA LTD 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days DICKER DATA LTD has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, DICKER DATA is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.
KAGA EL LTD 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days KAGA EL LTD has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, KAGA EL is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.

DICKER DATA and KAGA EL Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with DICKER DATA and KAGA EL

The main advantage of trading using opposite DICKER DATA and KAGA EL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DICKER DATA position performs unexpectedly, KAGA EL 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 KAGA EL will offset losses from the drop in KAGA EL's long position.
The idea behind DICKER DATA LTD and KAGA EL LTD 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 Money Managers module to screen money managers from public funds and ETFs managed around the world.

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