Correlation Between Cyber Media and GPT Healthcare

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

Diversification Opportunities for Cyber Media and GPT Healthcare

-0.36
  Correlation Coefficient

Very good diversification

The 3 months correlation between Cyber and GPT is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding Cyber Media Research and GPT Healthcare in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GPT Healthcare and Cyber Media 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 Cyber Media Research are associated (or correlated) with GPT Healthcare. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GPT Healthcare has no effect on the direction of Cyber Media i.e., Cyber Media and GPT Healthcare go up and down completely randomly.

Pair Corralation between Cyber Media and GPT Healthcare

Assuming the 90 days trading horizon Cyber Media Research is expected to under-perform the GPT Healthcare. In addition to that, Cyber Media is 3.03 times more volatile than GPT Healthcare. It trades about -0.29 of its total potential returns per unit of risk. GPT Healthcare is currently generating about 0.17 per unit of volatility. If you would invest  17,186  in GPT Healthcare on September 4, 2024 and sell it today you would earn a total of  1,036  from holding GPT Healthcare or generate 6.03% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Cyber Media Research  vs.  GPT Healthcare

 Performance 
       Timeline  
Cyber Media Research 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Cyber Media Research has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of weak performance in the last few months, the Stock's basic indicators remain very healthy which may send shares a bit higher in January 2025. The recent disarray may also be a sign of long period up-swing for the firm investors.
GPT Healthcare 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days GPT Healthcare has generated negative risk-adjusted returns adding no value to investors with long positions. Despite quite persistent essential indicators, GPT Healthcare is not utilizing all of its potentials. The recent stock price mess, may contribute to short-term losses for the institutional investors.

Cyber Media and GPT Healthcare Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Cyber Media and GPT Healthcare

The main advantage of trading using opposite Cyber Media and GPT Healthcare positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cyber Media position performs unexpectedly, GPT Healthcare 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 GPT Healthcare will offset losses from the drop in GPT Healthcare's long position.
The idea behind Cyber Media Research and GPT Healthcare 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.
Check out your portfolio center.
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 Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.

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