Correlation Between Navitas Semiconductor and Sitime
Can any of the company-specific risk be diversified away by investing in both Navitas 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 Navitas Semiconductor and Sitime into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Navitas Semiconductor Corp and Sitime, you can compare the effects of market volatilities on Navitas 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 Navitas Semiconductor with a short position of Sitime. Check out your portfolio center. Please also check ongoing floating volatility patterns of Navitas Semiconductor and Sitime.
Diversification Opportunities for Navitas Semiconductor and Sitime
-0.46 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Navitas and Sitime is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding Navitas Semiconductor Corp and Sitime in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sitime and Navitas 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 Navitas Semiconductor Corp 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 Navitas Semiconductor i.e., Navitas Semiconductor and Sitime go up and down completely randomly.
Pair Corralation between Navitas Semiconductor and Sitime
Given the investment horizon of 90 days Navitas Semiconductor Corp is expected to under-perform the Sitime. In addition to that, Navitas Semiconductor is 1.45 times more volatile than Sitime. It trades about -0.02 of its total potential returns per unit of risk. Sitime is currently generating about 0.14 per unit of volatility. If you would invest 18,186 in Sitime on August 29, 2024 and sell it today you would earn a total of 2,790 from holding Sitime or generate 15.34% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Navitas Semiconductor Corp vs. Sitime
Performance |
| Timeline |
| Navitas Semiconductor |
| Sitime |
Navitas Semiconductor and Sitime Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Navitas Semiconductor and Sitime
The main advantage of trading using opposite Navitas Semiconductor and Sitime positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Navitas 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.| Navitas Semiconductor vs. ON Semiconductor | Navitas Semiconductor vs. Monolithic Power Systems | Navitas Semiconductor vs. Globalfoundries | Navitas Semiconductor vs. Analog Devices |
| Sitime vs. Lattice Semiconductor | Sitime vs. Qorvo Inc | Sitime vs. Microchip Technology | Sitime vs. Silicon Laboratories |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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