Correlation Between SENECA FOODS-A and Nomad Foods
Can any of the company-specific risk be diversified away by investing in both SENECA FOODS-A and Nomad Foods 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 SENECA FOODS-A and Nomad Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SENECA FOODS A and Nomad Foods, you can compare the effects of market volatilities on SENECA FOODS-A and Nomad Foods 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 SENECA FOODS-A with a short position of Nomad Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of SENECA FOODS-A and Nomad Foods.
Diversification Opportunities for SENECA FOODS-A and Nomad Foods
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between SENECA and Nomad is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding SENECA FOODS A and Nomad Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nomad Foods and SENECA FOODS-A 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 SENECA FOODS A are associated (or correlated) with Nomad Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nomad Foods has no effect on the direction of SENECA FOODS-A i.e., SENECA FOODS-A and Nomad Foods go up and down completely randomly.
Pair Corralation between SENECA FOODS-A and Nomad Foods
Assuming the 90 days trading horizon SENECA FOODS-A is expected to generate 1.48 times less return on investment than Nomad Foods. But when comparing it to its historical volatility, SENECA FOODS A is 1.11 times less risky than Nomad Foods. It trades about 0.09 of its potential returns per unit of risk. Nomad Foods is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 1,555 in Nomad Foods on December 21, 2024 and sell it today you would earn a total of 215.00 from holding Nomad Foods or generate 13.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.33% |
Values | Daily Returns |
SENECA FOODS A vs. Nomad Foods
Performance |
Timeline |
SENECA FOODS A |
Nomad Foods |
SENECA FOODS-A and Nomad Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SENECA FOODS-A and Nomad Foods
The main advantage of trading using opposite SENECA FOODS-A and Nomad Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SENECA FOODS-A position performs unexpectedly, Nomad Foods 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 Nomad Foods will offset losses from the drop in Nomad Foods' long position.SENECA FOODS-A vs. KENEDIX OFFICE INV | SENECA FOODS-A vs. United Microelectronics Corp | SENECA FOODS-A vs. Verizon Communications | SENECA FOODS-A vs. UMC Electronics Co |
Nomad Foods vs. Compagnie Plastic Omnium | Nomad Foods vs. Commercial Vehicle Group | Nomad Foods vs. BOSTON BEER A | Nomad Foods vs. Molson Coors Beverage |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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