Correlation Between Prince Housing and Cheng Mei
Can any of the company-specific risk be diversified away by investing in both Prince Housing and Cheng Mei 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 Prince Housing and Cheng Mei into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Prince Housing Development and Cheng Mei Materials, you can compare the effects of market volatilities on Prince Housing and Cheng Mei 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 Prince Housing with a short position of Cheng Mei. Check out your portfolio center. Please also check ongoing floating volatility patterns of Prince Housing and Cheng Mei.
Diversification Opportunities for Prince Housing and Cheng Mei
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Prince and Cheng is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Prince Housing Development and Cheng Mei Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cheng Mei Materials and Prince Housing 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 Prince Housing Development are associated (or correlated) with Cheng Mei. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cheng Mei Materials has no effect on the direction of Prince Housing i.e., Prince Housing and Cheng Mei go up and down completely randomly.
Pair Corralation between Prince Housing and Cheng Mei
Assuming the 90 days trading horizon Prince Housing Development is expected to under-perform the Cheng Mei. But the stock apears to be less risky and, when comparing its historical volatility, Prince Housing Development is 1.59 times less risky than Cheng Mei. The stock trades about 0.0 of its potential returns per unit of risk. The Cheng Mei Materials is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 1,075 in Cheng Mei Materials on October 26, 2024 and sell it today you would earn a total of 310.00 from holding Cheng Mei Materials or generate 28.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.79% |
Values | Daily Returns |
Prince Housing Development vs. Cheng Mei Materials
Performance |
Timeline |
Prince Housing Devel |
Cheng Mei Materials |
Prince Housing and Cheng Mei Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Prince Housing and Cheng Mei
The main advantage of trading using opposite Prince Housing and Cheng Mei positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Prince Housing position performs unexpectedly, Cheng Mei 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 Cheng Mei will offset losses from the drop in Cheng Mei's long position.Prince Housing vs. Sunfar Computer Co | Prince Housing vs. Est Global Apparel | Prince Housing vs. Elan Microelectronics Corp | Prince Housing vs. U Media Communications |
Cheng Mei vs. Chunghwa Telecom Co | Cheng Mei vs. China Metal Products | Cheng Mei vs. Far EasTone Telecommunications | Cheng Mei vs. Tainet Communication System |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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