Correlation Between Sinyi Realty and Chong Hong
Can any of the company-specific risk be diversified away by investing in both Sinyi Realty and Chong Hong 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 Sinyi Realty and Chong Hong into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sinyi Realty and Chong Hong Construction, you can compare the effects of market volatilities on Sinyi Realty and Chong Hong 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 Sinyi Realty with a short position of Chong Hong. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sinyi Realty and Chong Hong.
Diversification Opportunities for Sinyi Realty and Chong Hong
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Sinyi and Chong is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Sinyi Realty and Chong Hong Construction in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chong Hong Construction and Sinyi Realty 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 Sinyi Realty are associated (or correlated) with Chong Hong. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chong Hong Construction has no effect on the direction of Sinyi Realty i.e., Sinyi Realty and Chong Hong go up and down completely randomly.
Pair Corralation between Sinyi Realty and Chong Hong
Assuming the 90 days trading horizon Sinyi Realty is expected to generate 0.49 times more return on investment than Chong Hong. However, Sinyi Realty is 2.03 times less risky than Chong Hong. It trades about -0.06 of its potential returns per unit of risk. Chong Hong Construction is currently generating about -0.11 per unit of risk. If you would invest 3,085 in Sinyi Realty on September 13, 2024 and sell it today you would lose (135.00) from holding Sinyi Realty or give up 4.38% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Sinyi Realty vs. Chong Hong Construction
Performance |
Timeline |
Sinyi Realty |
Chong Hong Construction |
Sinyi Realty and Chong Hong Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sinyi Realty and Chong Hong
The main advantage of trading using opposite Sinyi Realty and Chong Hong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sinyi Realty position performs unexpectedly, Chong Hong 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 Chong Hong will offset losses from the drop in Chong Hong's long position.Sinyi Realty vs. Chong Hong Construction | Sinyi Realty vs. Ruentex Development Co | Sinyi Realty vs. Symtek Automation Asia | Sinyi Realty vs. WiseChip Semiconductor |
Chong Hong vs. Ruentex Development Co | Chong Hong vs. Symtek Automation Asia | Chong Hong vs. WiseChip Semiconductor | Chong Hong vs. Novatek Microelectronics 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 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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