Correlation Between Innodata and Conduent

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

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

Diversification Opportunities for Innodata and Conduent

0.14

Correlation Coefficient

Innodata  Conduent

Average diversification

The 3 months correlation between Innodata and Conduent is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding Innodata and Conduent in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Conduent 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 Conduent. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Conduent has no effect on the direction of Innodata i.e., Innodata and Conduent go up and down completely randomly.

Pair Corralation between Innodata and Conduent

Given the investment horizon of 90 days Innodata is expected to generate 2.41 times more return on investment than Conduent. However, Innodata is 2.41 times more volatile than Conduent. It trades about 0.1 of its potential returns per unit of risk. Conduent is currently generating about 0.02 per unit of risk. If you would invest  289.00  in Innodata on September 5, 2024 and sell it today you would earn a total of  3,749  from holding Innodata or generate 1297.23% return on investment over 90 days.

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

Innodata  vs.  Conduent

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.

Conduent

Risk-Adjusted Performance

4 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Conduent are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively unfluctuating fundamental indicators, Conduent may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Pair Trading with Innodata and Conduent

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

The idea behind Innodata and Conduent 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.

Check out your portfolio center.

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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.