Correlation Between Astronics and Byrna Technologies
Can any of the company-specific risk be diversified away by investing in both Astronics and Byrna Technologies 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 Astronics and Byrna Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Astronics and Byrna Technologies, you can compare the effects of market volatilities on Astronics and Byrna Technologies 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 Astronics with a short position of Byrna Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Astronics and Byrna Technologies.
Diversification Opportunities for Astronics and Byrna Technologies
-0.85 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Astronics and Byrna is -0.85. Overlapping area represents the amount of risk that can be diversified away by holding Astronics and Byrna Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Byrna Technologies and Astronics 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 Astronics are associated (or correlated) with Byrna Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Byrna Technologies has no effect on the direction of Astronics i.e., Astronics and Byrna Technologies go up and down completely randomly.
Pair Corralation between Astronics and Byrna Technologies
Given the investment horizon of 90 days Astronics is expected to generate 0.71 times more return on investment than Byrna Technologies. However, Astronics is 1.41 times less risky than Byrna Technologies. It trades about 0.22 of its potential returns per unit of risk. Byrna Technologies is currently generating about -0.16 per unit of risk. If you would invest 1,580 in Astronics on December 29, 2024 and sell it today you would earn a total of 887.00 from holding Astronics or generate 56.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Astronics vs. Byrna Technologies
Performance |
Timeline |
Astronics |
Byrna Technologies |
Astronics and Byrna Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Astronics and Byrna Technologies
The main advantage of trading using opposite Astronics and Byrna Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Astronics position performs unexpectedly, Byrna Technologies 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 Byrna Technologies will offset losses from the drop in Byrna Technologies' long position.Astronics vs. Ducommun Incorporated | Astronics vs. Innovative Solutions and | Astronics vs. National Presto Industries | Astronics vs. Park Electrochemical |
Byrna Technologies vs. Ducommun Incorporated | Byrna Technologies vs. Park Electrochemical | Byrna Technologies vs. National Presto Industries | Byrna Technologies vs. Astronics |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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