Correlation Between Microelectronics and Allied Industrial
Can any of the company-specific risk be diversified away by investing in both Microelectronics and Allied Industrial 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 Microelectronics and Allied Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microelectronics Technology and Allied Industrial, you can compare the effects of market volatilities on Microelectronics and Allied Industrial 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 Microelectronics with a short position of Allied Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microelectronics and Allied Industrial.
Diversification Opportunities for Microelectronics and Allied Industrial
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Microelectronics and Allied is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Microelectronics Technology and Allied Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Allied Industrial and Microelectronics 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 Microelectronics Technology are associated (or correlated) with Allied Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Allied Industrial has no effect on the direction of Microelectronics i.e., Microelectronics and Allied Industrial go up and down completely randomly.
Pair Corralation between Microelectronics and Allied Industrial
Assuming the 90 days trading horizon Microelectronics Technology is expected to generate 1.91 times more return on investment than Allied Industrial. However, Microelectronics is 1.91 times more volatile than Allied Industrial. It trades about 0.01 of its potential returns per unit of risk. Allied Industrial is currently generating about 0.02 per unit of risk. If you would invest 3,905 in Microelectronics Technology on October 11, 2024 and sell it today you would lose (65.00) from holding Microelectronics Technology or give up 1.66% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Microelectronics Technology vs. Allied Industrial
Performance |
| Timeline |
| Microelectronics Tec |
| Allied Industrial |
Microelectronics and Allied Industrial Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Microelectronics and Allied Industrial
The main advantage of trading using opposite Microelectronics and Allied Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microelectronics position performs unexpectedly, Allied Industrial 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 Allied Industrial will offset losses from the drop in Allied Industrial's long position.| Microelectronics vs. D Link Corp | Microelectronics vs. Accton Technology Corp | Microelectronics vs. Macronix International Co | Microelectronics vs. Ritek Corp |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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