Correlation Between Sigma Labs and Innodata

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

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

Diversification Opportunities for Sigma Labs and Innodata

-0.37

Correlation Coefficient

Sigma Labs  Innodata

Very good diversification

The 3 months correlation between Sigma and Innodata is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding Sigma Labs and Innodata in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Innodata and Sigma Labs 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 Sigma Labs 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 Sigma Labs i.e., Sigma Labs and Innodata go up and down completely randomly.

Pair Corralation between Sigma Labs and Innodata

If you would invest  21.00  in Sigma Labs on October 5, 2024 and sell it today you would earn a total of  0.00  from holding Sigma Labs or generate 0.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	5.0%
Values	Daily Returns

Sigma Labs  vs.  Innodata

Sigma Labs

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Sigma Labs has generated negative risk-adjusted returns adding no value to investors with long positions. Despite fairly strong basic indicators, Sigma Labs is not utilizing all of its potentials. The latest stock price confusion, may contribute to short-horizon losses for the traders.

Innodata

Risk-Adjusted Performance

14 of 100

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 unfluctuating basic indicators, Innodata exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Sigma Labs and Innodata

The main advantage of trading using opposite Sigma Labs and Innodata positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sigma Labs 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 Sigma Labs 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.