Correlation Between Alchip Technologies and Chung Lien
Can any of the company-specific risk be diversified away by investing in both Alchip Technologies 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 Alchip Technologies and Chung Lien into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alchip Technologies and Chung Lien Transportation, you can compare the effects of market volatilities on Alchip Technologies 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 Alchip Technologies with a short position of Chung Lien. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alchip Technologies and Chung Lien.
Diversification Opportunities for Alchip Technologies and Chung Lien
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Alchip and Chung is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Alchip Technologies 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 Alchip Technologies 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 Alchip Technologies 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 Alchip Technologies i.e., Alchip Technologies and Chung Lien go up and down completely randomly.
Pair Corralation between Alchip Technologies and Chung Lien
Assuming the 90 days trading horizon Alchip Technologies is expected to under-perform the Chung Lien. In addition to that, Alchip Technologies is 2.95 times more volatile than Chung Lien Transportation. It trades about -0.06 of its total potential returns per unit of risk. Chung Lien Transportation is currently generating about -0.03 per unit of volatility. If you would invest 4,200 in Chung Lien Transportation on December 23, 2024 and sell it today you would lose (85.00) from holding Chung Lien Transportation or give up 2.02% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Alchip Technologies vs. Chung Lien Transportation
Performance |
Timeline |
Alchip Technologies |
Chung Lien Transportation |
Alchip Technologies and Chung Lien Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alchip Technologies and Chung Lien
The main advantage of trading using opposite Alchip Technologies and Chung Lien positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alchip Technologies 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.Alchip Technologies vs. Global Unichip Corp | Alchip Technologies vs. Asmedia Technology | Alchip Technologies vs. Silergy Corp | Alchip Technologies vs. Unimicron Technology 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 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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