Correlation Between Cheng Mei and Pili International
Can any of the company-specific risk be diversified away by investing in both Cheng Mei and Pili International 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 Cheng Mei and Pili International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cheng Mei Materials and Pili International Multimedia, you can compare the effects of market volatilities on Cheng Mei and Pili International 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 Cheng Mei with a short position of Pili International. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cheng Mei and Pili International.
Diversification Opportunities for Cheng Mei and Pili International
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Cheng and Pili is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Cheng Mei Materials and Pili International Multimedia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pili International and Cheng Mei 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 Cheng Mei Materials are associated (or correlated) with Pili International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pili International has no effect on the direction of Cheng Mei i.e., Cheng Mei and Pili International go up and down completely randomly.
Pair Corralation between Cheng Mei and Pili International
Assuming the 90 days trading horizon Cheng Mei Materials is expected to generate 1.07 times more return on investment than Pili International. However, Cheng Mei is 1.07 times more volatile than Pili International Multimedia. It trades about 0.12 of its potential returns per unit of risk. Pili International Multimedia is currently generating about -0.06 per unit of risk. If you would invest 1,310 in Cheng Mei Materials on December 22, 2024 and sell it today you would earn a total of 95.00 from holding Cheng Mei Materials or generate 7.25% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.25% |
Values | Daily Returns |
Cheng Mei Materials vs. Pili International Multimedia
Performance |
Timeline |
Cheng Mei Materials |
Pili International |
Cheng Mei and Pili International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cheng Mei and Pili International
The main advantage of trading using opposite Cheng Mei and Pili International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cheng Mei position performs unexpectedly, Pili International 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 Pili International will offset losses from the drop in Pili International's long position.Cheng Mei vs. STL Technology Co | Cheng Mei vs. Ever Clear Environmental Eng | Cheng Mei vs. Sunnic Technology Merchandise | Cheng Mei vs. Chun Yuan Steel |
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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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