Correlation Between Innodata and 9F

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Can any of the company-specific risk be diversified away by investing in both Innodata and 9F 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 9F into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Innodata and 9F Inc, you can compare the effects of market volatilities on Innodata and 9F 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 9F. Check out your portfolio center. Please also check ongoing floating volatility patterns of Innodata and 9F.

Diversification Opportunities for Innodata and 9F

-0.47
  Correlation Coefficient

Very good diversification

The 3 months correlation between Innodata and 9F is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Innodata and 9F Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on 9F Inc 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 9F. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of 9F Inc has no effect on the direction of Innodata i.e., Innodata and 9F go up and down completely randomly.

Pair Corralation between Innodata and 9F

Given the investment horizon of 90 days Innodata is expected to generate 0.88 times more return on investment than 9F. However, Innodata is 1.14 times less risky than 9F. It trades about 0.18 of its potential returns per unit of risk. 9F Inc is currently generating about 0.04 per unit of risk. If you would invest  1,591  in Innodata on September 2, 2024 and sell it today you would earn a total of  2,517  from holding Innodata or generate 158.2% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

Innodata  vs.  9F Inc

 Performance 
       Timeline  
Innodata 

Risk-Adjusted Performance

14 of 100

 
Weak
 
Strong
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 fragile basic indicators, Innodata exhibited solid returns over the last few months and may actually be approaching a breakup point.
9F Inc 

Risk-Adjusted Performance

3 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in 9F Inc are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain technical and fundamental indicators, 9F unveiled solid returns over the last few months and may actually be approaching a breakup point.

Innodata and 9F Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Innodata and 9F

The main advantage of trading using opposite Innodata and 9F positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Innodata position performs unexpectedly, 9F 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 9F will offset losses from the drop in 9F's long position.
The idea behind Innodata and 9F Inc 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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.

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