Correlation Between Silicon Motion and Alfa Financial
Can any of the company-specific risk be diversified away by investing in both Silicon Motion and Alfa Financial 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 Alfa Financial 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 Alfa Financial Software, you can compare the effects of market volatilities on Silicon Motion and Alfa Financial 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 Alfa Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Silicon Motion and Alfa Financial.
Diversification Opportunities for Silicon Motion and Alfa Financial
0.02 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Silicon and Alfa is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding Silicon Motion Technology and Alfa Financial Software in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alfa Financial Software 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 Alfa Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alfa Financial Software has no effect on the direction of Silicon Motion i.e., Silicon Motion and Alfa Financial go up and down completely randomly.
Pair Corralation between Silicon Motion and Alfa Financial
Assuming the 90 days trading horizon Silicon Motion Technology is expected to generate 1.61 times more return on investment than Alfa Financial. However, Silicon Motion is 1.61 times more volatile than Alfa Financial Software. It trades about -0.04 of its potential returns per unit of risk. Alfa Financial Software is currently generating about -0.32 per unit of risk. If you would invest 5,100 in Silicon Motion Technology on October 24, 2024 and sell it today you would lose (100.00) from holding Silicon Motion Technology or give up 1.96% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Silicon Motion Technology vs. Alfa Financial Software
Performance |
Timeline |
Silicon Motion Technology |
Alfa Financial Software |
Silicon Motion and Alfa Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Silicon Motion and Alfa Financial
The main advantage of trading using opposite Silicon Motion and Alfa Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Silicon Motion position performs unexpectedly, Alfa Financial 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 Alfa Financial will offset losses from the drop in Alfa Financial's long position.Silicon Motion vs. SEI INVESTMENTS | Silicon Motion vs. Corsair Gaming | Silicon Motion vs. MEDCAW INVESTMENTS LS 01 | Silicon Motion vs. Gaming and Leisure |
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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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