Correlation Between Mizuho Financial and Hang Seng
Can any of the company-specific risk be diversified away by investing in both Mizuho Financial and Hang Seng 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 Mizuho Financial and Hang Seng into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mizuho Financial Group and Hang Seng Bank, you can compare the effects of market volatilities on Mizuho Financial and Hang Seng 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 Mizuho Financial with a short position of Hang Seng. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mizuho Financial and Hang Seng.
Diversification Opportunities for Mizuho Financial and Hang Seng
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Mizuho and Hang is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Mizuho Financial Group and Hang Seng Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hang Seng Bank and Mizuho Financial 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 Mizuho Financial Group are associated (or correlated) with Hang Seng. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hang Seng Bank has no effect on the direction of Mizuho Financial i.e., Mizuho Financial and Hang Seng go up and down completely randomly.
Pair Corralation between Mizuho Financial and Hang Seng
Assuming the 90 days horizon Mizuho Financial Group is expected to under-perform the Hang Seng. In addition to that, Mizuho Financial is 1.33 times more volatile than Hang Seng Bank. It trades about -0.07 of its total potential returns per unit of risk. Hang Seng Bank is currently generating about 0.04 per unit of volatility. If you would invest 1,120 in Hang Seng Bank on September 23, 2024 and sell it today you would earn a total of 10.00 from holding Hang Seng Bank or generate 0.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Mizuho Financial Group vs. Hang Seng Bank
Performance |
Timeline |
Mizuho Financial |
Hang Seng Bank |
Mizuho Financial and Hang Seng Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mizuho Financial and Hang Seng
The main advantage of trading using opposite Mizuho Financial and Hang Seng positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mizuho Financial position performs unexpectedly, Hang Seng 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 Hang Seng will offset losses from the drop in Hang Seng's long position.Mizuho Financial vs. China Merchants Bank | Mizuho Financial vs. HDFC Bank Limited | Mizuho Financial vs. ICICI Bank Limited | Mizuho Financial vs. PT Bank Central |
Hang Seng vs. China Merchants Bank | Hang Seng vs. HDFC Bank Limited | Hang Seng vs. ICICI Bank Limited | Hang Seng vs. PT Bank Central |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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