Correlation Between Innodata and Gartner

Can any of the company-specific risk be diversified away by investing in both Innodata and Gartner 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 Gartner into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Innodata and Gartner, you can compare the effects of market volatilities on Innodata and Gartner 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 Gartner. Check out your portfolio center. Please also check ongoing floating volatility patterns of Innodata and Gartner.

Diversification Opportunities for Innodata and Gartner

-0.13

Correlation Coefficient

Innodata  Gartner

Good diversification

The 3 months correlation between Innodata and Gartner is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding Innodata and Gartner in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gartner 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 Gartner. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gartner has no effect on the direction of Innodata i.e., Innodata and Gartner go up and down completely randomly.

Pair Corralation between Innodata and Gartner

Given the investment horizon of 90 days Innodata is expected to generate 4.66 times more return on investment than Gartner. However, Innodata is 4.66 times more volatile than Gartner. It trades about 0.01 of its potential returns per unit of risk. Gartner is currently generating about -0.15 per unit of risk. If you would invest  4,209  in Innodata on December 29, 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 Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

Innodata  vs.  Gartner

Innodata

Risk-Adjusted Performance

Very Weak

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.

Gartner

Risk-Adjusted Performance

Very Weak

Over the last 90 days Gartner 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 Stock's basic indicators remain comparatively stable which may send shares a bit higher in April 2025. The newest uproar may also be a sign of mid-term up-swing for the firm private investors.

Pair Trading with Innodata and Gartner

The main advantage of trading using opposite Innodata and Gartner positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Innodata position performs unexpectedly, Gartner 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 Gartner will offset losses from the drop in Gartner's long position.

The idea behind Innodata and Gartner 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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.