Correlation Between QKC and EM

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

Diversification Opportunities for QKC and EM

0.0
  Correlation Coefficient
 QKC
 EM

Pay attention - limited upside

The 3 months correlation between QKC and EM is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding QKC and EM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EM and QKC 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 QKC are associated (or correlated) with EM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of EM has no effect on the direction of QKC i.e., QKC and EM go up and down completely randomly.

Pair Corralation between QKC and EM

If you would invest  0.87  in QKC on August 23, 2024 and sell it today you would earn a total of  0.08  from holding QKC or generate 9.2% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

QKC  vs.  EM

 Performance 
       Timeline  
QKC 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days QKC has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound fundamental indicators, QKC is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.
EM 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days EM has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound fundamental indicators, EM is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

QKC and EM Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with QKC and EM

The main advantage of trading using opposite QKC and EM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if QKC position performs unexpectedly, EM 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 EM will offset losses from the drop in EM's long position.
The idea behind QKC and EM 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.

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