Correlation Between Nomad Foods and Mitsui Chemicals
Can any of the company-specific risk be diversified away by investing in both Nomad Foods and Mitsui Chemicals 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 Nomad Foods and Mitsui Chemicals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nomad Foods and Mitsui Chemicals, you can compare the effects of market volatilities on Nomad Foods and Mitsui Chemicals 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 Nomad Foods with a short position of Mitsui Chemicals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nomad Foods and Mitsui Chemicals.
Diversification Opportunities for Nomad Foods and Mitsui Chemicals
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Nomad and Mitsui is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Nomad Foods and Mitsui Chemicals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mitsui Chemicals and Nomad 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 Nomad Foods are associated (or correlated) with Mitsui Chemicals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mitsui Chemicals has no effect on the direction of Nomad Foods i.e., Nomad Foods and Mitsui Chemicals go up and down completely randomly.
Pair Corralation between Nomad Foods and Mitsui Chemicals
Assuming the 90 days trading horizon Nomad Foods is expected to generate 0.99 times more return on investment than Mitsui Chemicals. However, Nomad Foods is 1.01 times less risky than Mitsui Chemicals. It trades about 0.02 of its potential returns per unit of risk. Mitsui Chemicals is currently generating about 0.01 per unit of risk. If you would invest 1,571 in Nomad Foods on September 3, 2024 and sell it today you would earn a total of 129.00 from holding Nomad Foods or generate 8.21% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Nomad Foods vs. Mitsui Chemicals
Performance |
| Timeline |
| Nomad Foods |
| Mitsui Chemicals |
Nomad Foods and Mitsui Chemicals Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Nomad Foods and Mitsui Chemicals
The main advantage of trading using opposite Nomad Foods and Mitsui Chemicals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nomad Foods position performs unexpectedly, Mitsui Chemicals 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 Mitsui Chemicals will offset losses from the drop in Mitsui Chemicals' long position.| Nomad Foods vs. Apple Inc | Nomad Foods vs. Apple Inc | Nomad Foods vs. Apple Inc | Nomad Foods vs. Apple Inc |
| Mitsui Chemicals vs. DXC Technology Co | Mitsui Chemicals vs. Computer And Technologies | Mitsui Chemicals vs. SCOTT TECHNOLOGY | Mitsui Chemicals vs. Casio Computer CoLtd |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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