Correlation Between Silicom and Frequency Electronics
Can any of the company-specific risk be diversified away by investing in both Silicom and Frequency Electronics 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 Silicom and Frequency Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Silicom and Frequency Electronics, you can compare the effects of market volatilities on Silicom and Frequency Electronics 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 Silicom with a short position of Frequency Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Silicom and Frequency Electronics.
Diversification Opportunities for Silicom and Frequency Electronics
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Silicom and Frequency is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding Silicom and Frequency Electronics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Frequency Electronics and Silicom 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 Silicom are associated (or correlated) with Frequency Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Frequency Electronics has no effect on the direction of Silicom i.e., Silicom and Frequency Electronics go up and down completely randomly.
Pair Corralation between Silicom and Frequency Electronics
Given the investment horizon of 90 days Silicom is expected to generate 0.9 times more return on investment than Frequency Electronics. However, Silicom is 1.11 times less risky than Frequency Electronics. It trades about 0.0 of its potential returns per unit of risk. Frequency Electronics is currently generating about -0.08 per unit of risk. If you would invest 1,543 in Silicom on December 30, 2024 and sell it today you would lose (44.00) from holding Silicom or give up 2.85% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Silicom vs. Frequency Electronics
Performance |
Timeline |
Silicom |
Frequency Electronics |
Silicom and Frequency Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Silicom and Frequency Electronics
The main advantage of trading using opposite Silicom and Frequency Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Silicom position performs unexpectedly, Frequency Electronics 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 Frequency Electronics will offset losses from the drop in Frequency Electronics' long position.Silicom vs. Ituran Location and | Silicom vs. Sapiens International | Silicom vs. Allot Communications | Silicom vs. Radcom |
Frequency Electronics vs. BK Technologies | Frequency Electronics vs. Actelis Networks | Frequency Electronics vs. Lantronix | Frequency Electronics vs. KVH Industries |
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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