Correlation Between Innodata and Mistras

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

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

Diversification Opportunities for Innodata and Mistras

0.13

Correlation Coefficient

Innodata  Mistras

Average diversification

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

Pair Corralation between Innodata and Mistras

Given the investment horizon of 90 days Innodata is expected to generate 3.85 times less return on investment than Mistras. In addition to that, Innodata is 3.17 times more volatile than Mistras Group. It trades about 0.01 of its total potential returns per unit of risk. Mistras Group is currently generating about 0.13 per unit of volatility. 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

Innodata  vs.  Mistras Group

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.

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.

Pair Trading with Innodata and Mistras

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

The idea behind Innodata and Mistras Group 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 Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.