Correlation Between Microelectronics and Century Wind
Can any of the company-specific risk be diversified away by investing in both Microelectronics and Century Wind 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 Century Wind into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microelectronics Technology and Century Wind Power, you can compare the effects of market volatilities on Microelectronics and Century Wind 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 Century Wind. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microelectronics and Century Wind.
Diversification Opportunities for Microelectronics and Century Wind
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Microelectronics and Century is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Microelectronics Technology and Century Wind Power in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Century Wind Power 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 Century Wind. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Century Wind Power has no effect on the direction of Microelectronics i.e., Microelectronics and Century Wind go up and down completely randomly.
Pair Corralation between Microelectronics and Century Wind
Assuming the 90 days trading horizon Microelectronics Technology is expected to generate 3.13 times more return on investment than Century Wind. However, Microelectronics is 3.13 times more volatile than Century Wind Power. It trades about 0.17 of its potential returns per unit of risk. Century Wind Power is currently generating about -0.19 per unit of risk. If you would invest 2,910 in Microelectronics Technology on October 4, 2024 and sell it today you would earn a total of 1,110 from holding Microelectronics Technology or generate 38.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Microelectronics Technology vs. Century Wind Power
Performance |
Timeline |
Microelectronics Tec |
Century Wind Power |
Microelectronics and Century Wind Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microelectronics and Century Wind
The main advantage of trading using opposite Microelectronics and Century Wind positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microelectronics position performs unexpectedly, Century Wind 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 Century Wind will offset losses from the drop in Century Wind'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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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