Correlation Between Innodata and Unisys

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Can any of the company-specific risk be diversified away by investing in both Innodata and Unisys 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 Unisys into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Innodata and Unisys, you can compare the effects of market volatilities on Innodata and Unisys 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 Unisys. Check out your portfolio center. Please also check ongoing floating volatility patterns of Innodata and Unisys.

Diversification Opportunities for Innodata and Unisys

0.85
  Correlation Coefficient

Very poor diversification

The 3 months correlation between Innodata and Unisys is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Innodata and Unisys in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Unisys 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 Unisys. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Unisys has no effect on the direction of Innodata i.e., Innodata and Unisys go up and down completely randomly.

Pair Corralation between Innodata and Unisys

Given the investment horizon of 90 days Innodata is expected to generate 5.95 times more return on investment than Unisys. However, Innodata is 5.95 times more volatile than Unisys. It trades about 0.25 of its potential returns per unit of risk. Unisys is currently generating about 0.22 per unit of risk. If you would invest  2,202  in Innodata on September 6, 2024 and sell it today you would earn a total of  2,364  from holding Innodata or generate 107.36% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy100.0%
ValuesDaily Returns

Innodata  vs.  Unisys

 Performance 
       Timeline  
Innodata 

Risk-Adjusted Performance

17 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in Innodata are ranked lower than 17 (%) 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.
Unisys 

Risk-Adjusted Performance

13 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Unisys are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain forward indicators, Unisys unveiled solid returns over the last few months and may actually be approaching a breakup point.

Innodata and Unisys Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Innodata and Unisys

The main advantage of trading using opposite Innodata and Unisys positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Innodata position performs unexpectedly, Unisys 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 Unisys will offset losses from the drop in Unisys' long position.
The idea behind Innodata and Unisys 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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.

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