Correlation Between Innodata and Exponent

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

Diversification Opportunities for Innodata and Exponent

-0.62
  Correlation Coefficient

Excellent diversification

The 3 months correlation between Innodata and Exponent is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding Innodata and Exponent in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Exponent 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 Exponent. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Exponent has no effect on the direction of Innodata i.e., Innodata and Exponent go up and down completely randomly.

Pair Corralation between Innodata and Exponent

Given the investment horizon of 90 days Innodata is expected to generate 5.42 times more return on investment than Exponent. However, Innodata is 5.42 times more volatile than Exponent. It trades about 0.18 of its potential returns per unit of risk. Exponent is currently generating about -0.05 per unit of risk. If you would invest  1,591  in Innodata on September 2, 2024 and sell it today you would earn a total of  2,517  from holding Innodata or generate 158.2% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Innodata  vs.  Exponent

 Performance 
       Timeline  
Innodata 

Risk-Adjusted Performance

14 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Innodata are ranked lower than 14 (%) of all global equities and portfolios over the last 90 days. In spite of rather fragile basic indicators, Innodata exhibited solid returns over the last few months and may actually be approaching a breakup point.
Exponent 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Exponent has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of very healthy basic indicators, Exponent is not utilizing all of its potentials. The recent stock price disarray, may contribute to short-term losses for the investors.

Innodata and Exponent Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Innodata and Exponent

The main advantage of trading using opposite Innodata and Exponent positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Innodata position performs unexpectedly, Exponent 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 Exponent will offset losses from the drop in Exponent's long position.
The idea behind Innodata and Exponent 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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.

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