Correlation Between Asmedia Technology and Macroblock
Can any of the company-specific risk be diversified away by investing in both Asmedia Technology and Macroblock 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 Macroblock into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Asmedia Technology and Macroblock, you can compare the effects of market volatilities on Asmedia Technology and Macroblock 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 Macroblock. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asmedia Technology and Macroblock.
Diversification Opportunities for Asmedia Technology and Macroblock
-0.77 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Asmedia and Macroblock is -0.77. Overlapping area represents the amount of risk that can be diversified away by holding Asmedia Technology and Macroblock in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Macroblock 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 Macroblock. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Macroblock has no effect on the direction of Asmedia Technology i.e., Asmedia Technology and Macroblock go up and down completely randomly.
Pair Corralation between Asmedia Technology and Macroblock
Assuming the 90 days trading horizon Asmedia Technology is expected to generate 1.96 times more return on investment than Macroblock. However, Asmedia Technology is 1.96 times more volatile than Macroblock. It trades about 0.32 of its potential returns per unit of risk. Macroblock is currently generating about -0.04 per unit of risk. If you would invest 160,000 in Asmedia Technology on September 28, 2024 and sell it today you would earn a total of 39,000 from holding Asmedia Technology or generate 24.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Asmedia Technology vs. Macroblock
Performance |
Timeline |
Asmedia Technology |
Macroblock |
Asmedia Technology and Macroblock Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Asmedia Technology and Macroblock
The main advantage of trading using opposite Asmedia Technology and Macroblock positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asmedia Technology position performs unexpectedly, Macroblock 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 Macroblock will offset losses from the drop in Macroblock's long position.Asmedia Technology vs. Century Wind Power | Asmedia Technology vs. Green World Fintech | Asmedia Technology vs. Ingentec | Asmedia Technology vs. Chaheng Precision Co |
Macroblock vs. Quanta Storage | Macroblock vs. Provision Information CoLtd | Macroblock vs. Mitake Information | Macroblock vs. Softstar Entertainment |
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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