Correlation Between General Dynamics and Innodata

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

Diversification Opportunities for General Dynamics and Innodata

-0.64
  Correlation Coefficient

Excellent diversification

The 3 months correlation between General and Innodata is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding General Dynamics and Innodata in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Innodata and General Dynamics 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 General Dynamics are associated (or correlated) with Innodata. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Innodata has no effect on the direction of General Dynamics i.e., General Dynamics and Innodata go up and down completely randomly.

Pair Corralation between General Dynamics and Innodata

Allowing for the 90-day total investment horizon General Dynamics is expected to generate 1.43 times less return on investment than Innodata. But when comparing it to its historical volatility, General Dynamics is 5.22 times less risky than Innodata. It trades about 0.04 of its potential returns per unit of risk. Innodata is currently generating about 0.01 of returns per unit of risk over similar time horizon. 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

General Dynamics  vs.  Innodata

 Performance 
       Timeline  
General Dynamics 

Risk-Adjusted Performance

Weak

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in General Dynamics are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of rather sound fundamental indicators, General Dynamics is not utilizing all of its potentials. The newest stock price tumult, may contribute to shorter-term losses for the shareholders.
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.

General Dynamics and Innodata Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with General Dynamics and Innodata

The main advantage of trading using opposite General Dynamics and Innodata positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if General Dynamics position performs unexpectedly, Innodata 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 Innodata will offset losses from the drop in Innodata's long position.
The idea behind General Dynamics and Innodata 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.

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