Correlation Between Mercuries Life and Hung Sheng
Can any of the company-specific risk be diversified away by investing in both Mercuries Life and Hung Sheng 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 Mercuries Life and Hung Sheng into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mercuries Life Insurance and Hung Sheng Construction, you can compare the effects of market volatilities on Mercuries Life and Hung Sheng 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 Mercuries Life with a short position of Hung Sheng. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mercuries Life and Hung Sheng.
Diversification Opportunities for Mercuries Life and Hung Sheng
-0.01 | Correlation Coefficient |
Good diversification
The 3 months correlation between Mercuries and Hung is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding Mercuries Life Insurance and Hung Sheng Construction in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hung Sheng Construction and Mercuries Life 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 Mercuries Life Insurance are associated (or correlated) with Hung Sheng. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hung Sheng Construction has no effect on the direction of Mercuries Life i.e., Mercuries Life and Hung Sheng go up and down completely randomly.
Pair Corralation between Mercuries Life and Hung Sheng
Assuming the 90 days trading horizon Mercuries Life Insurance is expected to under-perform the Hung Sheng. But the stock apears to be less risky and, when comparing its historical volatility, Mercuries Life Insurance is 1.42 times less risky than Hung Sheng. The stock trades about -0.14 of its potential returns per unit of risk. The Hung Sheng Construction is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 2,610 in Hung Sheng Construction on August 30, 2024 and sell it today you would earn a total of 70.00 from holding Hung Sheng Construction or generate 2.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Mercuries Life Insurance vs. Hung Sheng Construction
Performance |
Timeline |
Mercuries Life Insurance |
Hung Sheng Construction |
Mercuries Life and Hung Sheng Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mercuries Life and Hung Sheng
The main advantage of trading using opposite Mercuries Life and Hung Sheng positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mercuries Life position performs unexpectedly, Hung Sheng 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 Hung Sheng will offset losses from the drop in Hung Sheng's long position.Mercuries Life vs. CSBC Corp Taiwan | Mercuries Life vs. Hung Sheng Construction | Mercuries Life vs. Ton Yi Industrial | Mercuries Life vs. De Licacy Industrial |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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