Correlation Between Deer Consumer and CGA Old

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

Diversification Opportunities for Deer Consumer and CGA Old

0.0
  Correlation Coefficient

Pay attention - limited upside

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

Pair Corralation between Deer Consumer and CGA Old

If you would invest  198.00  in CGA Old on October 27, 2024 and sell it today you would earn a total of  0.00  from holding CGA Old or generate 0.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Deer Consumer Prodct  vs.  CGA Old

 Performance 
       Timeline  
Deer Consumer Prodct 

Risk-Adjusted Performance

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Very Weak
Over the last 90 days Deer Consumer Prodct has generated negative risk-adjusted returns adding no value to investors with long positions. Even with relatively invariable technical and fundamental indicators, Deer Consumer is not utilizing all of its potentials. The recent stock price agitation, may contribute to short-term losses for the retail investors.
CGA Old 

Risk-Adjusted Performance

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Weak
 
Strong
Insignificant
Over the last 90 days CGA Old has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat unfluctuating technical and fundamental indicators, CGA Old sustained solid returns over the last few months and may actually be approaching a breakup point.

Deer Consumer and CGA Old Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Deer Consumer and CGA Old

The main advantage of trading using opposite Deer Consumer and CGA Old positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Deer Consumer position performs unexpectedly, CGA Old 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 CGA Old will offset losses from the drop in CGA Old's long position.
The idea behind Deer Consumer Prodct and CGA Old 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.

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