Correlation Between Silicon Motion and ULTRA CLEAN
Can any of the company-specific risk be diversified away by investing in both Silicon Motion and ULTRA CLEAN 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 ULTRA CLEAN 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 ULTRA CLEAN HLDGS, you can compare the effects of market volatilities on Silicon Motion and ULTRA CLEAN 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 ULTRA CLEAN. Check out your portfolio center. Please also check ongoing floating volatility patterns of Silicon Motion and ULTRA CLEAN.
Diversification Opportunities for Silicon Motion and ULTRA CLEAN
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Silicon and ULTRA is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Silicon Motion Technology and ULTRA CLEAN HLDGS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ULTRA CLEAN HLDGS 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 ULTRA CLEAN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ULTRA CLEAN HLDGS has no effect on the direction of Silicon Motion i.e., Silicon Motion and ULTRA CLEAN go up and down completely randomly.
Pair Corralation between Silicon Motion and ULTRA CLEAN
Assuming the 90 days trading horizon Silicon Motion Technology is expected to generate 0.66 times more return on investment than ULTRA CLEAN. However, Silicon Motion Technology is 1.52 times less risky than ULTRA CLEAN. It trades about 0.01 of its potential returns per unit of risk. ULTRA CLEAN HLDGS is currently generating about -0.16 per unit of risk. If you would invest 5,053 in Silicon Motion Technology on December 22, 2024 and sell it today you would lose (3.00) from holding Silicon Motion Technology or give up 0.06% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Silicon Motion Technology vs. ULTRA CLEAN HLDGS
Performance |
Timeline |
Silicon Motion Technology |
ULTRA CLEAN HLDGS |
Silicon Motion and ULTRA CLEAN Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Silicon Motion and ULTRA CLEAN
The main advantage of trading using opposite Silicon Motion and ULTRA CLEAN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Silicon Motion position performs unexpectedly, ULTRA CLEAN 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 ULTRA CLEAN will offset losses from the drop in ULTRA CLEAN's long position.Silicon Motion vs. Marie Brizard Wine | Silicon Motion vs. HF SINCLAIR P | Silicon Motion vs. CHINA TONTINE WINES | Silicon Motion vs. IMPERIAL TOBACCO |
ULTRA CLEAN vs. American Public Education | ULTRA CLEAN vs. QINGCI GAMES INC | ULTRA CLEAN vs. GAMING FAC SA | ULTRA CLEAN vs. CAREER EDUCATION |
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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