Correlation Between Deutsche Wohnen and Sun Hung
Can any of the company-specific risk be diversified away by investing in both Deutsche Wohnen and Sun Hung 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 Sun Hung 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 Sun Hung Kai, you can compare the effects of market volatilities on Deutsche Wohnen and Sun Hung 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 Sun Hung. Check out your portfolio center. Please also check ongoing floating volatility patterns of Deutsche Wohnen and Sun Hung.
Diversification Opportunities for Deutsche Wohnen and Sun Hung
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Deutsche and Sun is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding Deutsche Wohnen SE and Sun Hung Kai in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sun Hung Kai 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 Sun Hung. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sun Hung Kai has no effect on the direction of Deutsche Wohnen i.e., Deutsche Wohnen and Sun Hung go up and down completely randomly.
Pair Corralation between Deutsche Wohnen and Sun Hung
Assuming the 90 days trading horizon Deutsche Wohnen SE is expected to under-perform the Sun Hung. But the stock apears to be less risky and, when comparing its historical volatility, Deutsche Wohnen SE is 2.86 times less risky than Sun Hung. The stock trades about -0.01 of its potential returns per unit of risk. The Sun Hung Kai is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 717.00 in Sun Hung Kai on September 23, 2024 and sell it today you would earn a total of 183.00 from holding Sun Hung Kai or generate 25.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Deutsche Wohnen SE vs. Sun Hung Kai
Performance |
Timeline |
Deutsche Wohnen SE |
Sun Hung Kai |
Deutsche Wohnen and Sun Hung Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Deutsche Wohnen and Sun Hung
The main advantage of trading using opposite Deutsche Wohnen and Sun Hung positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Deutsche Wohnen position performs unexpectedly, Sun Hung 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 Sun Hung will offset losses from the drop in Sun Hung'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 |
Sun Hung vs. China Overseas Land | Sun Hung vs. CHINA VANKE TD | Sun Hung vs. Longfor Group Holdings | Sun Hung vs. Mitsui Fudosan 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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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