Correlation Between Mistras and Innodata

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

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

Diversification Opportunities for Mistras and Innodata

0.13

Correlation Coefficient

Mistras  Innodata

Average diversification

The 3 months correlation between Mistras and Innodata is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Mistras Group and Innodata in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Innodata and Mistras 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 Mistras Group 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 Mistras i.e., Mistras and Innodata go up and down completely randomly.

Pair Corralation between Mistras and Innodata

Allowing for the 90-day total investment horizon Mistras Group is expected to generate 0.32 times more return on investment than Innodata. However, Mistras Group is 3.17 times less risky than Innodata. It trades about 0.13 of its potential returns per unit of risk. Innodata is currently generating about 0.01 per unit of risk. If you would invest  899.00  in Mistras Group on December 29, 2024 and sell it today you would earn a total of  161.00  from holding Mistras Group or generate 17.91% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

Mistras Group  vs.  Innodata

Mistras Group

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Mistras Group are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. Despite nearly inconsistent technical and fundamental indicators, Mistras reported solid returns over the last few months and may actually be approaching a breakup point.

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 Mistras and Innodata

The main advantage of trading using opposite Mistras and Innodata positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mistras 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 Mistras Group 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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.