Correlation Between Hongkong Land and Daiwa House
Can any of the company-specific risk be diversified away by investing in both Hongkong Land and Daiwa House 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 Hongkong Land and Daiwa House into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hongkong Land Holdings and Daiwa House Industry, you can compare the effects of market volatilities on Hongkong Land and Daiwa House 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 Hongkong Land with a short position of Daiwa House. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hongkong Land and Daiwa House.
Diversification Opportunities for Hongkong Land and Daiwa House
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Hongkong and Daiwa is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Hongkong Land Holdings and Daiwa House Industry in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Daiwa House Industry and Hongkong Land 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 Hongkong Land Holdings are associated (or correlated) with Daiwa House. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Daiwa House Industry has no effect on the direction of Hongkong Land i.e., Hongkong Land and Daiwa House go up and down completely randomly.
Pair Corralation between Hongkong Land and Daiwa House
Assuming the 90 days horizon Hongkong Land Holdings is expected to under-perform the Daiwa House. In addition to that, Hongkong Land is 1.22 times more volatile than Daiwa House Industry. It trades about -0.16 of its total potential returns per unit of risk. Daiwa House Industry is currently generating about 0.03 per unit of volatility. If you would invest 2,860 in Daiwa House Industry on September 23, 2024 and sell it today you would earn a total of 20.00 from holding Daiwa House Industry or generate 0.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Hongkong Land Holdings vs. Daiwa House Industry
Performance |
Timeline |
Hongkong Land Holdings |
Daiwa House Industry |
Hongkong Land and Daiwa House Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hongkong Land and Daiwa House
The main advantage of trading using opposite Hongkong Land and Daiwa House positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hongkong Land position performs unexpectedly, Daiwa House 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 Daiwa House will offset losses from the drop in Daiwa House's long position.Hongkong Land vs. Sun Hung Kai | Hongkong Land vs. China Overseas Land | Hongkong Land vs. CHINA VANKE TD | Hongkong Land vs. Longfor Group Holdings |
Daiwa House vs. Sun Hung Kai | Daiwa House vs. China Overseas Land | Daiwa House vs. CHINA VANKE TD | Daiwa House vs. Longfor Group 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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