Correlation Between Sun Hung and Longfor Properties
Can any of the company-specific risk be diversified away by investing in both Sun Hung and Longfor Properties 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 Sun Hung and Longfor Properties into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sun Hung Kai and Longfor Properties Co, you can compare the effects of market volatilities on Sun Hung and Longfor Properties 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 Sun Hung with a short position of Longfor Properties. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sun Hung and Longfor Properties.
Diversification Opportunities for Sun Hung and Longfor Properties
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Sun and Longfor is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Sun Hung Kai and Longfor Properties Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Longfor Properties and Sun Hung 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 Sun Hung Kai are associated (or correlated) with Longfor Properties. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Longfor Properties has no effect on the direction of Sun Hung i.e., Sun Hung and Longfor Properties go up and down completely randomly.
Pair Corralation between Sun Hung and Longfor Properties
Assuming the 90 days horizon Sun Hung Kai is expected to under-perform the Longfor Properties. But the pink sheet apears to be less risky and, when comparing its historical volatility, Sun Hung Kai is 2.71 times less risky than Longfor Properties. The pink sheet trades about -0.22 of its potential returns per unit of risk. The Longfor Properties Co is currently generating about -0.06 of returns per unit of risk over similar time horizon. If you would invest 1,423 in Longfor Properties Co on November 2, 2024 and sell it today you would lose (146.00) from holding Longfor Properties Co or give up 10.26% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Sun Hung Kai vs. Longfor Properties Co
Performance |
| Timeline |
| Sun Hung Kai |
| Longfor Properties |
Sun Hung and Longfor Properties Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Sun Hung and Longfor Properties
The main advantage of trading using opposite Sun Hung and Longfor Properties positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sun Hung position performs unexpectedly, Longfor Properties 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 Longfor Properties will offset losses from the drop in Longfor Properties' long position.| Sun Hung vs. Hong Kong Land | Sun Hung vs. Wharf Holdings | Sun Hung vs. Holiday Island Holdings | Sun Hung vs. Bayport International Holdings |
| Longfor Properties vs. Sun Hung Kai | Longfor Properties vs. Sino Land Co | Longfor Properties vs. Sun Hung Kai | Longfor Properties vs. Holiday Island Holdings |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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