Correlation Between Global Develpmts and Innodata

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

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

Diversification Opportunities for Global Develpmts and Innodata

-0.4

Correlation Coefficient

Global Develpmts  Innodata

Very good diversification

The 3 months correlation between Global and Innodata is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding Global Develpmts and Innodata in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Innodata and Global Develpmts 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 Global Develpmts 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 Global Develpmts i.e., Global Develpmts and Innodata go up and down completely randomly.

Pair Corralation between Global Develpmts and Innodata

Given the investment horizon of 90 days Global Develpmts is expected to under-perform the Innodata. In addition to that, Global Develpmts is 1.19 times more volatile than Innodata. It trades about -0.13 of its total potential returns per unit of risk. Innodata is currently generating about 0.1 per unit of volatility. If you would invest  4,052  in Innodata on December 2, 2024 and sell it today you would earn a total of  1,220  from holding Innodata or generate 30.11% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Very Weak
Accuracy	100.0%
Values	Daily Returns

Global Develpmts  vs.  Innodata

Global Develpmts

Risk-Adjusted Performance

Very Weak

Over the last 90 days Global Develpmts has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of conflicting performance in the last few months, the Stock's basic indicators remain very healthy which may send shares a bit higher in April 2025. The recent disarray may also be a sign of long period up-swing for the firm investors.

Innodata

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Innodata are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of rather fragile basic indicators, Innodata exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Global Develpmts and Innodata

The main advantage of trading using opposite Global Develpmts and Innodata positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global Develpmts 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 Global Develpmts 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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.