Correlation Between Deutsche Wohnen and Hongkong Land
Can any of the company-specific risk be diversified away by investing in both Deutsche Wohnen and Hongkong 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 Deutsche Wohnen and Hongkong Land into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Deutsche Wohnen SE and Hongkong Land Holdings, you can compare the effects of market volatilities on Deutsche Wohnen and Hongkong 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 Deutsche Wohnen with a short position of Hongkong Land. Check out your portfolio center. Please also check ongoing floating volatility patterns of Deutsche Wohnen and Hongkong Land.
Diversification Opportunities for Deutsche Wohnen and Hongkong Land
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Deutsche and Hongkong is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Deutsche Wohnen SE and Hongkong Land Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hongkong Land Holdings and Deutsche Wohnen 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 Deutsche Wohnen SE are associated (or correlated) with Hongkong Land. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hongkong Land Holdings has no effect on the direction of Deutsche Wohnen i.e., Deutsche Wohnen and Hongkong Land go up and down completely randomly.
Pair Corralation between Deutsche Wohnen and Hongkong Land
Assuming the 90 days trading horizon Deutsche Wohnen SE is expected to under-perform the Hongkong Land. But the stock apears to be less risky and, when comparing its historical volatility, Deutsche Wohnen SE is 1.83 times less risky than Hongkong Land. The stock trades about -0.07 of its potential returns per unit of risk. The Hongkong Land Holdings is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 324.00 in Hongkong Land Holdings on September 23, 2024 and sell it today you would earn a total of 86.00 from holding Hongkong Land Holdings or generate 26.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Deutsche Wohnen SE vs. Hongkong Land Holdings
Performance |
Timeline |
Deutsche Wohnen SE |
Hongkong Land Holdings |
Deutsche Wohnen and Hongkong Land Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Deutsche Wohnen and Hongkong Land
The main advantage of trading using opposite Deutsche Wohnen and Hongkong Land positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Deutsche Wohnen position performs unexpectedly, Hongkong 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 Hongkong Land will offset losses from the drop in Hongkong Land's long position.Deutsche Wohnen vs. Sun Hung Kai | Deutsche Wohnen vs. China Overseas Land | Deutsche Wohnen vs. CHINA VANKE TD | Deutsche Wohnen vs. Longfor Group Holdings |
Hongkong Land vs. Sun Hung Kai | Hongkong Land vs. China Overseas Land | Hongkong Land vs. CHINA VANKE TD | Hongkong Land 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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