Correlation Between CHP and PING

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

Diversification Opportunities for CHP and PING

-0.09
  Correlation Coefficient

Good diversification

The 3 months correlation between CHP and PING is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding CHP and PING in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PING and CHP 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 CHP are associated (or correlated) with PING. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PING has no effect on the direction of CHP i.e., CHP and PING go up and down completely randomly.

Pair Corralation between CHP and PING

If you would invest  5.72  in PING on August 30, 2024 and sell it today you would earn a total of  0.00  from holding PING or generate 0.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy1.56%
ValuesDaily Returns

CHP  vs.  PING

 Performance 
       Timeline  
CHP 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days CHP has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's basic indicators remain rather sound which may send shares a bit higher in December 2024. The latest tumult may also be a sign of longer-term up-swing for CHP shareholders.
PING 

Risk-Adjusted Performance

0 of 100

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

CHP and PING Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with CHP and PING

The main advantage of trading using opposite CHP and PING positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CHP position performs unexpectedly, PING 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 PING will offset losses from the drop in PING's long position.
The idea behind CHP and PING 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.

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