Correlation Between Computer Task and Innodata

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

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

Diversification Opportunities for Computer Task and Innodata

0.72

Correlation Coefficient

Computer Task  Innodata

Poor diversification

The 3 months correlation between Computer and Innodata is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Computer Task Group and Innodata in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Innodata and Computer Task 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 Computer Task 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 Computer Task i.e., Computer Task and Innodata go up and down completely randomly.

Pair Corralation between Computer Task and Innodata

If you would invest  1,546  in Innodata on September 4, 2024 and sell it today you would earn a total of  2,506  from holding Innodata or generate 162.1% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	1.56%
Values	Daily Returns

Computer Task Group  vs.  Innodata

Computer Task Group

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Computer Task Group has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, Computer Task is not utilizing all of its potentials. The newest stock price disturbance, may contribute to mid-run losses for the stockholders.

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 Computer Task and Innodata

The main advantage of trading using opposite Computer Task and Innodata positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Computer Task 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 Computer Task 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.