Correlation Between 9F and Innodata

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

Diversification Opportunities for 9F and Innodata

0.13
  Correlation Coefficient

Average diversification

The 3 months correlation between 9F and Innodata is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding 9F Inc and Innodata in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Innodata and 9F 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 9F Inc 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 9F i.e., 9F and Innodata go up and down completely randomly.

Pair Corralation between 9F and Innodata

Considering the 90-day investment horizon 9F Inc is expected to under-perform the Innodata. But the stock apears to be less risky and, when comparing its historical volatility, 9F Inc is 2.19 times less risky than Innodata. The stock trades about -0.01 of its potential returns per unit of risk. The Innodata is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest  4,536  in Innodata on December 27, 2024 and sell it today you would lose (413.00) from holding Innodata or give up 9.1% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

9F Inc  vs.  Innodata

 Performance 
       Timeline  
9F Inc 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days 9F Inc has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable technical and fundamental indicators, 9F is not utilizing all of its potentials. The newest stock price uproar, may contribute to short-horizon losses for the private investors.
Innodata 

Risk-Adjusted Performance

Weak

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in Innodata are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of rather fragile basic indicators, Innodata may actually be approaching a critical reversion point that can send shares even higher in April 2025.

9F and Innodata Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with 9F and Innodata

The main advantage of trading using opposite 9F and Innodata positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if 9F 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 9F Inc 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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.

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