Correlation Between Globant SA and Innodata

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

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

Diversification Opportunities for Globant SA and Innodata

-0.28

Correlation Coefficient

Globant SA  Innodata

Very good diversification

The 3 months correlation between Globant and Innodata is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding Globant SA and Innodata in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Innodata and Globant SA 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 Globant SA 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 Globant SA i.e., Globant SA and Innodata go up and down completely randomly.

Pair Corralation between Globant SA and Innodata

Given the investment horizon of 90 days Globant SA is expected to under-perform the Innodata. But the stock apears to be less risky and, when comparing its historical volatility, Globant SA is 1.78 times less risky than Innodata. The stock trades about -0.21 of its potential returns per unit of risk. The 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 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

Globant SA  vs.  Innodata

Globant SA

Risk-Adjusted Performance

Very Weak

Over the last 90 days Globant SA has generated negative risk-adjusted returns adding no value to investors with long positions. Despite unfluctuating performance in the last few months, the Stock's basic indicators remain somewhat strong which may send shares a bit higher in April 2025. The current disturbance may also be a sign of long term up-swing for the company investors.

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.

Pair Trading with Globant SA and Innodata

The main advantage of trading using opposite Globant SA and Innodata positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Globant SA 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 Globant SA 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.

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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.