Correlation Between Aurora Innovation and Innodata
Can any of the company-specific risk be diversified away by investing in both Aurora Innovation 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 Aurora Innovation and Innodata into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aurora Innovation and Innodata, you can compare the effects of market volatilities on Aurora Innovation 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 Aurora Innovation with a short position of Innodata. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aurora Innovation and Innodata.
Diversification Opportunities for Aurora Innovation and Innodata
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Aurora and Innodata is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Aurora Innovation and Innodata in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Innodata and Aurora Innovation 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 Aurora Innovation 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 Aurora Innovation i.e., Aurora Innovation and Innodata go up and down completely randomly.
Pair Corralation between Aurora Innovation and Innodata
Considering the 90-day investment horizon Aurora Innovation is expected to generate 1.08 times less return on investment than Innodata. But when comparing it to its historical volatility, Aurora Innovation is 1.31 times less risky than Innodata. It trades about 0.16 of its potential returns per unit of risk. Innodata is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 1,441 in Innodata on September 1, 2024 and sell it today you would earn a total of 2,667 from holding Innodata or generate 185.08% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Aurora Innovation vs. Innodata
Performance |
| Timeline |
| Aurora Innovation |
| Innodata |
Aurora Innovation and Innodata Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Aurora Innovation and Innodata
The main advantage of trading using opposite Aurora Innovation and Innodata positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aurora Innovation 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.| Aurora Innovation vs. Innodata | Aurora Innovation vs. International Business Machines | Aurora Innovation vs. BigBearai Holdings | Aurora Innovation vs. CLPS Inc |
| Innodata vs. ASGN Inc | Innodata vs. Formula Systems 1985 | Innodata vs. FiscalNote Holdings | Innodata vs. International Business Machines |
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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