Correlation Between Asmedia Technology and Chung Lien
Can any of the company-specific risk be diversified away by investing in both Asmedia Technology and Chung Lien 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 Asmedia Technology and Chung Lien into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Asmedia Technology and Chung Lien Transportation, you can compare the effects of market volatilities on Asmedia Technology and Chung Lien 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 Asmedia Technology with a short position of Chung Lien. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asmedia Technology and Chung Lien.
Diversification Opportunities for Asmedia Technology and Chung Lien
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Asmedia and Chung is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Asmedia Technology and Chung Lien Transportation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chung Lien Transportation and Asmedia Technology 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 Asmedia Technology are associated (or correlated) with Chung Lien. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chung Lien Transportation has no effect on the direction of Asmedia Technology i.e., Asmedia Technology and Chung Lien go up and down completely randomly.
Pair Corralation between Asmedia Technology and Chung Lien
Assuming the 90 days trading horizon Asmedia Technology is expected to generate 4.46 times more return on investment than Chung Lien. However, Asmedia Technology is 4.46 times more volatile than Chung Lien Transportation. It trades about 0.08 of its potential returns per unit of risk. Chung Lien Transportation is currently generating about -0.04 per unit of risk. If you would invest 67,302 in Asmedia Technology on September 18, 2024 and sell it today you would earn a total of 121,698 from holding Asmedia Technology or generate 180.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.79% |
Values | Daily Returns |
Asmedia Technology vs. Chung Lien Transportation
Performance |
Timeline |
Asmedia Technology |
Chung Lien Transportation |
Asmedia Technology and Chung Lien Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Asmedia Technology and Chung Lien
The main advantage of trading using opposite Asmedia Technology and Chung Lien positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asmedia Technology position performs unexpectedly, Chung Lien 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 Chung Lien will offset losses from the drop in Chung Lien's long position.Asmedia Technology vs. AU Optronics | Asmedia Technology vs. Innolux Corp | Asmedia Technology vs. Ruentex Development Co | Asmedia Technology vs. WiseChip Semiconductor |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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