Correlation Between Innodata and Applied Digital
Can any of the company-specific risk be diversified away by investing in both Innodata and Applied Digital 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 Applied Digital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Innodata and Applied Digital, you can compare the effects of market volatilities on Innodata and Applied Digital 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 Applied Digital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Innodata and Applied Digital.
Diversification Opportunities for Innodata and Applied Digital
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Innodata and Applied is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Innodata and Applied Digital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Applied Digital 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 Applied Digital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Applied Digital has no effect on the direction of Innodata i.e., Innodata and Applied Digital go up and down completely randomly.
Pair Corralation between Innodata and Applied Digital
Given the investment horizon of 90 days Innodata is expected to generate 3.6 times less return on investment than Applied Digital. But when comparing it to its historical volatility, Innodata is 1.65 times less risky than Applied Digital. It trades about 0.09 of its potential returns per unit of risk. Applied Digital is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 454.00 in Applied Digital on April 24, 2025 and sell it today you would earn a total of 641.00 from holding Applied Digital or generate 141.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Innodata vs. Applied Digital
Performance |
Timeline |
Innodata |
Applied Digital |
Innodata and Applied Digital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Innodata and Applied Digital
The main advantage of trading using opposite Innodata and Applied Digital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Innodata position performs unexpectedly, Applied Digital 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 Applied Digital will offset losses from the drop in Applied Digital's long position.Innodata vs. BigBearai Holdings | Innodata vs. FiscalNote Holdings | Innodata vs. Grid Dynamics Holdings | Innodata vs. Innovative Solutions and |
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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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.
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