Correlation Between NH Foods and Computer Modelling
Can any of the company-specific risk be diversified away by investing in both NH Foods and Computer Modelling 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 NH Foods and Computer Modelling into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NH Foods Ltd and Computer Modelling Group, you can compare the effects of market volatilities on NH Foods and Computer Modelling 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 NH Foods with a short position of Computer Modelling. Check out your portfolio center. Please also check ongoing floating volatility patterns of NH Foods and Computer Modelling.
Diversification Opportunities for NH Foods and Computer Modelling
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between NIPMY and Computer is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding NH Foods Ltd and Computer Modelling Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Computer Modelling and NH Foods 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 NH Foods Ltd are associated (or correlated) with Computer Modelling. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Computer Modelling has no effect on the direction of NH Foods i.e., NH Foods and Computer Modelling go up and down completely randomly.
Pair Corralation between NH Foods and Computer Modelling
Assuming the 90 days horizon NH Foods Ltd is expected to generate 2.45 times more return on investment than Computer Modelling. However, NH Foods is 2.45 times more volatile than Computer Modelling Group. It trades about 0.22 of its potential returns per unit of risk. Computer Modelling Group is currently generating about -0.25 per unit of risk. If you would invest 1,700 in NH Foods Ltd on August 27, 2025 and sell it today you would earn a total of 450.00 from holding NH Foods Ltd or generate 26.47% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 95.45% |
| Values | Daily Returns |
NH Foods Ltd vs. Computer Modelling Group
Performance |
| Timeline |
| NH Foods |
| Computer Modelling |
NH Foods and Computer Modelling Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with NH Foods and Computer Modelling
The main advantage of trading using opposite NH Foods and Computer Modelling positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NH Foods position performs unexpectedly, Computer Modelling 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 Computer Modelling will offset losses from the drop in Computer Modelling's long position.| NH Foods vs. ABN AMRO Bank | NH Foods vs. Copperbank Resources Corp | NH Foods vs. Solvay Bank Corp | NH Foods vs. Yuexiu Transport Infrastructure |
| Computer Modelling vs. Hanover Foods | Computer Modelling vs. United Natural Foods | Computer Modelling vs. Slate Grocery REIT | Computer Modelling vs. NH Foods Ltd |
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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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