Correlation Between Dalata Hotel and Nomad Foods
Can any of the company-specific risk be diversified away by investing in both Dalata Hotel 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 Dalata Hotel and Nomad Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dalata Hotel Group and Nomad Foods, you can compare the effects of market volatilities on Dalata Hotel 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 Dalata Hotel with a short position of Nomad Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dalata Hotel and Nomad Foods.
Diversification Opportunities for Dalata Hotel and Nomad Foods
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Dalata and Nomad is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding Dalata Hotel Group and Nomad Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nomad Foods and Dalata Hotel 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 Dalata Hotel Group 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 Dalata Hotel i.e., Dalata Hotel and Nomad Foods go up and down completely randomly.
Pair Corralation between Dalata Hotel and Nomad Foods
Assuming the 90 days horizon Dalata Hotel Group is expected to generate 1.09 times more return on investment than Nomad Foods. However, Dalata Hotel is 1.09 times more volatile than Nomad Foods. It trades about 0.03 of its potential returns per unit of risk. Nomad Foods is currently generating about 0.01 per unit of risk. If you would invest 371.00 in Dalata Hotel Group on October 18, 2024 and sell it today you would earn a total of 88.00 from holding Dalata Hotel Group or generate 23.72% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Dalata Hotel Group vs. Nomad Foods
Performance |
| Timeline |
| Dalata Hotel Group |
| Nomad Foods |
Dalata Hotel and Nomad Foods Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Dalata Hotel and Nomad Foods
The main advantage of trading using opposite Dalata Hotel and Nomad Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dalata Hotel 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.| Dalata Hotel vs. Nucletron Electronic Aktiengesellschaft | Dalata Hotel vs. Benchmark Electronics | Dalata Hotel vs. DAIDO METAL TD | Dalata Hotel vs. ARROW ELECTRONICS |
| Nomad Foods vs. Dalata Hotel Group | Nomad Foods vs. PennantPark Investment | Nomad Foods vs. HK Electric Investments | Nomad Foods vs. MidCap Financial Investment |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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