Correlation Between Hung Sheng and Good Finance
Can any of the company-specific risk be diversified away by investing in both Hung Sheng and Good Finance 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 Good Finance 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 Good Finance Securities, you can compare the effects of market volatilities on Hung Sheng and Good Finance 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 Good Finance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hung Sheng and Good Finance.
Diversification Opportunities for Hung Sheng and Good Finance
0.14 | Correlation Coefficient |
Average diversification
The 3 months correlation between Hung and Good is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding Hung Sheng Construction and Good Finance Securities in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Good Finance Securities 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 Good Finance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Good Finance Securities has no effect on the direction of Hung Sheng i.e., Hung Sheng and Good Finance go up and down completely randomly.
Pair Corralation between Hung Sheng and Good Finance
Assuming the 90 days trading horizon Hung Sheng Construction is expected to generate 1.69 times more return on investment than Good Finance. However, Hung Sheng is 1.69 times more volatile than Good Finance Securities. It trades about 0.03 of its potential returns per unit of risk. Good Finance Securities is currently generating about 0.06 per unit of risk. If you would invest 2,590 in Hung Sheng Construction on December 21, 2024 and sell it today you would earn a total of 55.00 from holding Hung Sheng Construction or generate 2.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Hung Sheng Construction vs. Good Finance Securities
Performance |
Timeline |
Hung Sheng Construction |
Good Finance Securities |
Hung Sheng and Good Finance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hung Sheng and Good Finance
The main advantage of trading using opposite Hung Sheng and Good Finance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hung Sheng position performs unexpectedly, Good Finance 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 Good Finance will offset losses from the drop in Good Finance'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 |
Good Finance vs. Da Cin Construction Co | Good Finance vs. Chief Telecom | Good Finance vs. Chiu Ting Machinery | Good Finance vs. Chien Kuo Construction |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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