Correlation Between AVer Information and Te Chang
Can any of the company-specific risk be diversified away by investing in both AVer Information and Te Chang 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 AVer Information and Te Chang into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AVer Information and Te Chang Construction, you can compare the effects of market volatilities on AVer Information and Te Chang 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 AVer Information with a short position of Te Chang. Check out your portfolio center. Please also check ongoing floating volatility patterns of AVer Information and Te Chang.
Diversification Opportunities for AVer Information and Te Chang
-0.86 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between AVer and 5511 is -0.86. Overlapping area represents the amount of risk that can be diversified away by holding AVer Information and Te Chang Construction in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Te Chang Construction and AVer Information 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 AVer Information are associated (or correlated) with Te Chang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Te Chang Construction has no effect on the direction of AVer Information i.e., AVer Information and Te Chang go up and down completely randomly.
Pair Corralation between AVer Information and Te Chang
Assuming the 90 days trading horizon AVer Information is expected to generate 2.61 times more return on investment than Te Chang. However, AVer Information is 2.61 times more volatile than Te Chang Construction. It trades about 0.15 of its potential returns per unit of risk. Te Chang Construction is currently generating about 0.14 per unit of risk. If you would invest 4,080 in AVer Information on September 21, 2024 and sell it today you would earn a total of 190.00 from holding AVer Information or generate 4.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
AVer Information vs. Te Chang Construction
Performance |
Timeline |
AVer Information |
Te Chang Construction |
AVer Information and Te Chang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AVer Information and Te Chang
The main advantage of trading using opposite AVer Information and Te Chang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AVer Information position performs unexpectedly, Te Chang 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 Te Chang will offset losses from the drop in Te Chang's long position.AVer Information vs. AU Optronics | AVer Information vs. Innolux Corp | AVer Information vs. Ruentex Development Co | AVer Information vs. Novatek Microelectronics Corp |
Te Chang vs. Adata Technology Co | Te Chang vs. AVer Information | Te Chang vs. Dimerco Data System | Te Chang vs. Shih Kuen Plastics |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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