Correlation Between Acbel Polytech and United Renewable
Can any of the company-specific risk be diversified away by investing in both Acbel Polytech and United Renewable 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 Acbel Polytech and United Renewable into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Acbel Polytech and United Renewable Energy, you can compare the effects of market volatilities on Acbel Polytech and United Renewable 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 Acbel Polytech with a short position of United Renewable. Check out your portfolio center. Please also check ongoing floating volatility patterns of Acbel Polytech and United Renewable.
Diversification Opportunities for Acbel Polytech and United Renewable
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Acbel and United is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Acbel Polytech and United Renewable Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United Renewable Energy and Acbel Polytech 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 Acbel Polytech are associated (or correlated) with United Renewable. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United Renewable Energy has no effect on the direction of Acbel Polytech i.e., Acbel Polytech and United Renewable go up and down completely randomly.
Pair Corralation between Acbel Polytech and United Renewable
Assuming the 90 days trading horizon Acbel Polytech is expected to generate 1.27 times more return on investment than United Renewable. However, Acbel Polytech is 1.27 times more volatile than United Renewable Energy. It trades about 0.02 of its potential returns per unit of risk. United Renewable Energy is currently generating about -0.06 per unit of risk. If you would invest 3,035 in Acbel Polytech on September 3, 2024 and sell it today you would earn a total of 275.00 from holding Acbel Polytech or generate 9.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Acbel Polytech vs. United Renewable Energy
Performance |
Timeline |
Acbel Polytech |
United Renewable Energy |
Acbel Polytech and United Renewable Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Acbel Polytech and United Renewable
The main advantage of trading using opposite Acbel Polytech and United Renewable positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Acbel Polytech position performs unexpectedly, United Renewable 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 United Renewable will offset losses from the drop in United Renewable's long position.Acbel Polytech vs. Cheng Uei Precision | Acbel Polytech vs. Gemtek Technology Co | Acbel Polytech vs. Kinpo Electronics | Acbel Polytech vs. Darfon Electronics Corp |
United Renewable vs. Motech Industries Co | United Renewable vs. Innolux Corp | United Renewable vs. Gigastorage Corp | United Renewable vs. Darwin Precisions Corp |
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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