Correlation Between Silicon Motion and Ebro Foods
Can any of the company-specific risk be diversified away by investing in both Silicon Motion and Ebro 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 Silicon Motion and Ebro Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Silicon Motion Technology and Ebro Foods SA, you can compare the effects of market volatilities on Silicon Motion and Ebro 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 Silicon Motion with a short position of Ebro Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Silicon Motion and Ebro Foods.
Diversification Opportunities for Silicon Motion and Ebro Foods
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Silicon and Ebro is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Silicon Motion Technology and Ebro Foods SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ebro Foods SA and Silicon Motion 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 Silicon Motion Technology are associated (or correlated) with Ebro Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ebro Foods SA has no effect on the direction of Silicon Motion i.e., Silicon Motion and Ebro Foods go up and down completely randomly.
Pair Corralation between Silicon Motion and Ebro Foods
Assuming the 90 days trading horizon Silicon Motion Technology is expected to generate 4.16 times more return on investment than Ebro Foods. However, Silicon Motion is 4.16 times more volatile than Ebro Foods SA. It trades about 0.08 of its potential returns per unit of risk. Ebro Foods SA is currently generating about -0.08 per unit of risk. If you would invest 4,950 in Silicon Motion Technology on October 9, 2024 and sell it today you would earn a total of 350.00 from holding Silicon Motion Technology or generate 7.07% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Silicon Motion Technology vs. Ebro Foods SA
Performance |
Timeline |
Silicon Motion Technology |
Ebro Foods SA |
Silicon Motion and Ebro Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Silicon Motion and Ebro Foods
The main advantage of trading using opposite Silicon Motion and Ebro Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Silicon Motion position performs unexpectedly, Ebro 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 Ebro Foods will offset losses from the drop in Ebro Foods' long position.Silicon Motion vs. ELMOS SEMICONDUCTOR | Silicon Motion vs. NAGOYA RAILROAD | Silicon Motion vs. Television Broadcasts Limited | Silicon Motion vs. NXP Semiconductors NV |
Ebro Foods vs. Superior Plus Corp | Ebro Foods vs. NMI Holdings | Ebro Foods vs. SIVERS SEMICONDUCTORS AB | Ebro Foods vs. Talanx AG |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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