Correlation Between DSJA and CYB

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

Diversification Opportunities for DSJA and CYB

-0.91
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between DSJA and CYB is -0.91. Overlapping area represents the amount of risk that can be diversified away by holding DSJA and CYB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CYB and DSJA 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 DSJA are associated (or correlated) with CYB. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CYB has no effect on the direction of DSJA i.e., DSJA and CYB go up and down completely randomly.

Pair Corralation between DSJA and CYB

If you would invest  2,436  in CYB on September 17, 2024 and sell it today you would earn a total of  0.00  from holding CYB or generate 0.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

DSJA  vs.  CYB

 Performance 
       Timeline  
DSJA 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days DSJA has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong forward-looking indicators, DSJA is not utilizing all of its potentials. The newest stock price disturbance, may contribute to short-term losses for the investors.
CYB 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days CYB has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, CYB is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

DSJA and CYB Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with DSJA and CYB

The main advantage of trading using opposite DSJA and CYB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DSJA position performs unexpectedly, CYB 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 CYB will offset losses from the drop in CYB's long position.
The idea behind DSJA and CYB 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.

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