Correlation Between 9F and Innodata

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

0.05

Correlation Coefficient

9F  Innodata

Significant diversification

The 3 months correlation between 9F and Innodata is 0.05. 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 is expected to generate 28.04 times less return on investment than Innodata. But when comparing it to its historical volatility, 9F Inc is 2.26 times less risky than Innodata. It trades about 0.01 of its potential returns per unit of risk. Innodata is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest  3,950  in Innodata on December 2, 2024 and sell it today you would earn a total of  1,322  from holding Innodata or generate 33.47% return on investment over 90 days.

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

9F Inc  vs.  Innodata

9F Inc

Risk-Adjusted Performance

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in 9F Inc are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. 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

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 weak basic indicators, Innodata exhibited solid returns over the last few months and may actually be approaching a breakup point.

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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.