Correlation Between Silicon Motion and Ambarella
Can any of the company-specific risk be diversified away by investing in both Silicon Motion and Ambarella 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 Ambarella 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 Ambarella, you can compare the effects of market volatilities on Silicon Motion and Ambarella 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 Ambarella. Check out your portfolio center. Please also check ongoing floating volatility patterns of Silicon Motion and Ambarella.
Diversification Opportunities for Silicon Motion and Ambarella
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Silicon and Ambarella is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Silicon Motion Technology and Ambarella in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ambarella 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 Ambarella. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ambarella has no effect on the direction of Silicon Motion i.e., Silicon Motion and Ambarella go up and down completely randomly.
Pair Corralation between Silicon Motion and Ambarella
Given the investment horizon of 90 days Silicon Motion is expected to generate 1.21 times less return on investment than Ambarella. But when comparing it to its historical volatility, Silicon Motion Technology is 1.54 times less risky than Ambarella. It trades about 0.16 of its potential returns per unit of risk. Ambarella is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 6,706 in Ambarella on June 27, 2025 and sell it today you would earn a total of 1,762 from holding Ambarella or generate 26.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Silicon Motion Technology vs. Ambarella
Performance |
Timeline |
Silicon Motion Technology |
Ambarella |
Silicon Motion and Ambarella Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Silicon Motion and Ambarella
The main advantage of trading using opposite Silicon Motion and Ambarella positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Silicon Motion position performs unexpectedly, Ambarella 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 Ambarella will offset losses from the drop in Ambarella's long position.Silicon Motion vs. ASE Industrial Holding | Silicon Motion vs. Himax Technologies | Silicon Motion vs. United Microelectronics | Silicon Motion vs. MaxLinear |
Ambarella vs. Axcelis Technologies | Ambarella vs. Kulicke and Soffa | Ambarella vs. Ultra Clean Holdings | Ambarella vs. Cohu Inc |
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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