Correlation Between Innodata and Park Electrochemical
Can any of the company-specific risk be diversified away by investing in both Innodata and Park Electrochemical 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 Park Electrochemical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Innodata and Park Electrochemical, you can compare the effects of market volatilities on Innodata and Park Electrochemical 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 Park Electrochemical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Innodata and Park Electrochemical.
Diversification Opportunities for Innodata and Park Electrochemical
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Innodata and Park is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Innodata and Park Electrochemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Park Electrochemical 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 Park Electrochemical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Park Electrochemical has no effect on the direction of Innodata i.e., Innodata and Park Electrochemical go up and down completely randomly.
Pair Corralation between Innodata and Park Electrochemical
Given the investment horizon of 90 days Innodata is expected to generate 1.28 times less return on investment than Park Electrochemical. In addition to that, Innodata is 2.24 times more volatile than Park Electrochemical. It trades about 0.07 of its total potential returns per unit of risk. Park Electrochemical is currently generating about 0.2 per unit of volatility. If you would invest 1,295 in Park Electrochemical on May 5, 2025 and sell it today you would earn a total of 492.00 from holding Park Electrochemical or generate 37.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Innodata vs. Park Electrochemical
Performance |
Timeline |
Innodata |
Park Electrochemical |
Innodata and Park Electrochemical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Innodata and Park Electrochemical
The main advantage of trading using opposite Innodata and Park Electrochemical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Innodata position performs unexpectedly, Park Electrochemical 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 Park Electrochemical will offset losses from the drop in Park Electrochemical's long position.Innodata vs. BigBearai Holdings | Innodata vs. FiscalNote Holdings | Innodata vs. Grid Dynamics Holdings | Innodata vs. Innovative Solutions and |
Park Electrochemical vs. Ducommun Incorporated | Park Electrochemical vs. Innovative Solutions and | Park Electrochemical vs. National Presto Industries | Park Electrochemical vs. Astronics |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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