Correlation Between Hang Lung and Henderson Land
Can any of the company-specific risk be diversified away by investing in both Hang Lung and Henderson Land 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 Hang Lung and Henderson Land into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hang Lung Properties and Henderson Land Development, you can compare the effects of market volatilities on Hang Lung and Henderson Land 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 Hang Lung with a short position of Henderson Land. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hang Lung and Henderson Land.
Diversification Opportunities for Hang Lung and Henderson Land
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Hang and Henderson is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Hang Lung Properties and Henderson Land Development in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Henderson Land Devel and Hang Lung 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 Hang Lung Properties are associated (or correlated) with Henderson Land. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Henderson Land Devel has no effect on the direction of Hang Lung i.e., Hang Lung and Henderson Land go up and down completely randomly.
Pair Corralation between Hang Lung and Henderson Land
Assuming the 90 days horizon Hang Lung Properties is expected to under-perform the Henderson Land. In addition to that, Hang Lung is 1.21 times more volatile than Henderson Land Development. It trades about -0.04 of its total potential returns per unit of risk. Henderson Land Development is currently generating about 0.03 per unit of volatility. If you would invest 271.00 in Henderson Land Development on August 25, 2024 and sell it today you would earn a total of 44.00 from holding Henderson Land Development or generate 16.24% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Hang Lung Properties vs. Henderson Land Development
Performance |
| Timeline |
| Hang Lung Properties |
| Henderson Land Devel |
Hang Lung and Henderson Land Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Hang Lung and Henderson Land
The main advantage of trading using opposite Hang Lung and Henderson Land positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hang Lung position performs unexpectedly, Henderson Land 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 Henderson Land will offset losses from the drop in Henderson Land's long position.| Hang Lung vs. Ascendas India Trust | Hang Lung vs. Asia Pptys | Hang Lung vs. Adler Group SA | Hang Lung vs. Aztec Land Comb |
| Henderson Land vs. Sun Hung Kai | Henderson Land vs. Hang Lung Properties | Henderson Land vs. Swire Pacific | Henderson Land vs. Sino Land Co |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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