Correlation Between Hung Sheng and Prince Housing
Can any of the company-specific risk be diversified away by investing in both Hung Sheng and Prince Housing 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 Hung Sheng and Prince Housing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hung Sheng Construction and Prince Housing Development, you can compare the effects of market volatilities on Hung Sheng and Prince Housing 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 Hung Sheng with a short position of Prince Housing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hung Sheng and Prince Housing.
Diversification Opportunities for Hung Sheng and Prince Housing
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Hung and Prince is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Hung Sheng Construction and Prince Housing Development in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Prince Housing Devel and Hung Sheng 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 Hung Sheng Construction are associated (or correlated) with Prince Housing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Prince Housing Devel has no effect on the direction of Hung Sheng i.e., Hung Sheng and Prince Housing go up and down completely randomly.
Pair Corralation between Hung Sheng and Prince Housing
Assuming the 90 days trading horizon Hung Sheng Construction is expected to generate 1.41 times more return on investment than Prince Housing. However, Hung Sheng is 1.41 times more volatile than Prince Housing Development. It trades about 0.01 of its potential returns per unit of risk. Prince Housing Development is currently generating about -0.16 per unit of risk. If you would invest 2,610 in Hung Sheng Construction on September 20, 2024 and sell it today you would earn a total of 0.00 from holding Hung Sheng Construction or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.65% |
Values | Daily Returns |
Hung Sheng Construction vs. Prince Housing Development
Performance |
Timeline |
Hung Sheng Construction |
Prince Housing Devel |
Hung Sheng and Prince Housing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hung Sheng and Prince Housing
The main advantage of trading using opposite Hung Sheng and Prince Housing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hung Sheng position performs unexpectedly, Prince Housing 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 Prince Housing will offset losses from the drop in Prince Housing's long position.Hung Sheng vs. Chainqui Construction Development | Hung Sheng vs. Kee Tai Properties | Hung Sheng vs. BES Engineering Co | Hung Sheng vs. Zinwell |
Prince Housing vs. Sesoda Corp | Prince Housing vs. New Asia Construction | Prince Housing vs. Excelsior Medical Co | Prince Housing vs. First Insurance 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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