Correlation Between Lattice Semiconductor and Sitime
Can any of the company-specific risk be diversified away by investing in both Lattice Semiconductor and Sitime 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 Lattice Semiconductor and Sitime into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lattice Semiconductor and Sitime, you can compare the effects of market volatilities on Lattice Semiconductor and Sitime 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 Lattice Semiconductor with a short position of Sitime. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lattice Semiconductor and Sitime.
Diversification Opportunities for Lattice Semiconductor and Sitime
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Lattice and Sitime is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Lattice Semiconductor and Sitime in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sitime and Lattice Semiconductor 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 Lattice Semiconductor are associated (or correlated) with Sitime. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sitime has no effect on the direction of Lattice Semiconductor i.e., Lattice Semiconductor and Sitime go up and down completely randomly.
Pair Corralation between Lattice Semiconductor and Sitime
Given the investment horizon of 90 days Lattice Semiconductor is expected to generate 4.5 times less return on investment than Sitime. But when comparing it to its historical volatility, Lattice Semiconductor is 1.29 times less risky than Sitime. It trades about 0.02 of its potential returns per unit of risk. Sitime is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 10,495 in Sitime on July 12, 2025 and sell it today you would earn a total of 20,499 from holding Sitime or generate 195.32% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Lattice Semiconductor vs. Sitime
Performance |
| Timeline |
| Lattice Semiconductor |
| Sitime |
Lattice Semiconductor and Sitime Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Lattice Semiconductor and Sitime
The main advantage of trading using opposite Lattice Semiconductor and Sitime positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lattice Semiconductor position performs unexpectedly, Sitime 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 Sitime will offset losses from the drop in Sitime's long position.| Lattice Semiconductor vs. Qorvo Inc | Lattice Semiconductor vs. Sitime | Lattice Semiconductor vs. Microchip Technology | Lattice Semiconductor vs. Silicon Laboratories |
| Sitime vs. Synaptics Incorporated | Sitime vs. MACOM Technology Solutions | Sitime vs. Silicon Laboratories | Sitime vs. Power Integrations |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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