Correlation Between Allegro Microsystems and Cirrus Logic
Can any of the company-specific risk be diversified away by investing in both Allegro Microsystems and Cirrus Logic 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 Allegro Microsystems and Cirrus Logic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Allegro Microsystems and Cirrus Logic, you can compare the effects of market volatilities on Allegro Microsystems and Cirrus Logic 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 Allegro Microsystems with a short position of Cirrus Logic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Allegro Microsystems and Cirrus Logic.
Diversification Opportunities for Allegro Microsystems and Cirrus Logic
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Allegro and Cirrus is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Allegro Microsystems and Cirrus Logic in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cirrus Logic and Allegro Microsystems 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 Allegro Microsystems are associated (or correlated) with Cirrus Logic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cirrus Logic has no effect on the direction of Allegro Microsystems i.e., Allegro Microsystems and Cirrus Logic go up and down completely randomly.
Pair Corralation between Allegro Microsystems and Cirrus Logic
Given the investment horizon of 90 days Allegro Microsystems is expected to generate 1.33 times more return on investment than Cirrus Logic. However, Allegro Microsystems is 1.33 times more volatile than Cirrus Logic. It trades about 0.12 of its potential returns per unit of risk. Cirrus Logic is currently generating about 0.13 per unit of risk. If you would invest 2,584 in Allegro Microsystems on June 1, 2025 and sell it today you would earn a total of 501.00 from holding Allegro Microsystems or generate 19.39% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Allegro Microsystems vs. Cirrus Logic
Performance |
| Timeline |
| Allegro Microsystems |
| Cirrus Logic |
Allegro Microsystems and Cirrus Logic Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Allegro Microsystems and Cirrus Logic
The main advantage of trading using opposite Allegro Microsystems and Cirrus Logic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Allegro Microsystems position performs unexpectedly, Cirrus Logic 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 Cirrus Logic will offset losses from the drop in Cirrus Logic's long position.| Allegro Microsystems vs. Synaptics Incorporated | Allegro Microsystems vs. Microchip Technology | Allegro Microsystems vs. Qorvo Inc | Allegro Microsystems vs. Monolithic Power Systems |
| Cirrus Logic vs. SolarEdge Technologies | Cirrus Logic vs. First Solar | Cirrus Logic vs. Sunrun Inc | Cirrus Logic vs. Canadian Solar |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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