Correlation Between Western Copper and Nomad Foods
Can any of the company-specific risk be diversified away by investing in both Western Copper 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 Western Copper and Nomad Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Western Copper and and Nomad Foods, you can compare the effects of market volatilities on Western Copper 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 Western Copper with a short position of Nomad Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Western Copper and Nomad Foods.
Diversification Opportunities for Western Copper and Nomad Foods
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Western and Nomad is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding Western Copper and and Nomad Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nomad Foods and Western Copper 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 Western Copper and 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 Western Copper i.e., Western Copper and Nomad Foods go up and down completely randomly.
Pair Corralation between Western Copper and Nomad Foods
Assuming the 90 days trading horizon Western Copper and is expected to generate 1.52 times more return on investment than Nomad Foods. However, Western Copper is 1.52 times more volatile than Nomad Foods. It trades about 0.06 of its potential returns per unit of risk. Nomad Foods is currently generating about -0.12 per unit of risk. If you would invest 102.00 in Western Copper and on October 11, 2024 and sell it today you would earn a total of 2.00 from holding Western Copper and or generate 1.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Western Copper and vs. Nomad Foods
Performance |
Timeline |
Western Copper |
Nomad Foods |
Western Copper and Nomad Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Western Copper and Nomad Foods
The main advantage of trading using opposite Western Copper and Nomad Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Western Copper 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.Western Copper vs. Renesas Electronics | Western Copper vs. Quaker Chemical | Western Copper vs. Richardson Electronics | Western Copper vs. INDO RAMA SYNTHETIC |
Nomad Foods vs. Calibre Mining Corp | Nomad Foods vs. GALENA MINING LTD | Nomad Foods vs. ECHO INVESTMENT ZY | Nomad Foods vs. Guangdong Investment Limited |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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