Correlation Between Innodata and CoreCivic

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

Diversification Opportunities for Innodata and CoreCivic

-0.65
  Correlation Coefficient

Excellent diversification

The 3 months correlation between Innodata and CoreCivic is -0.65. Overlapping area represents the amount of risk that can be diversified away by holding Innodata and CoreCivic in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CoreCivic and Innodata 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 Innodata are associated (or correlated) with CoreCivic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CoreCivic has no effect on the direction of Innodata i.e., Innodata and CoreCivic go up and down completely randomly.

Pair Corralation between Innodata and CoreCivic

Given the investment horizon of 90 days Innodata is expected to generate 2.99 times more return on investment than CoreCivic. However, Innodata is 2.99 times more volatile than CoreCivic. It trades about 0.01 of its potential returns per unit of risk. CoreCivic is currently generating about -0.02 per unit of risk. If you would invest  4,209  in Innodata on December 30, 2024 and sell it today you would lose (470.00) from holding Innodata or give up 11.17% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Innodata  vs.  CoreCivic

 Performance 
       Timeline  
Innodata 

Risk-Adjusted Performance

Very Weak

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

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days CoreCivic has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of fairly stable basic indicators, CoreCivic is not utilizing all of its potentials. The newest stock price fuss, may contribute to near-short-term losses for the sophisticated investors.

Innodata and CoreCivic Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Innodata and CoreCivic

The main advantage of trading using opposite Innodata and CoreCivic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Innodata position performs unexpectedly, CoreCivic 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 CoreCivic will offset losses from the drop in CoreCivic's long position.
The idea behind Innodata and CoreCivic 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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.

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