Correlation Between Mizuho Financial and Woori Financial
Can any of the company-specific risk be diversified away by investing in both Mizuho Financial and Woori Financial 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 Woori Financial 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 Woori Financial Group, you can compare the effects of market volatilities on Mizuho Financial and Woori Financial 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 Woori Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mizuho Financial and Woori Financial.
Diversification Opportunities for Mizuho Financial and Woori Financial
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Mizuho and Woori is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Mizuho Financial Group and Woori Financial Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Woori Financial Group 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 Woori Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Woori Financial Group has no effect on the direction of Mizuho Financial i.e., Mizuho Financial and Woori Financial go up and down completely randomly.
Pair Corralation between Mizuho Financial and Woori Financial
Considering the 90-day investment horizon Mizuho Financial Group is expected to generate 1.06 times more return on investment than Woori Financial. However, Mizuho Financial is 1.06 times more volatile than Woori Financial Group. It trades about 0.07 of its potential returns per unit of risk. Woori Financial Group is currently generating about 0.04 per unit of risk. If you would invest 280.00 in Mizuho Financial Group on January 31, 2024 and sell it today you would earn a total of 107.00 from holding Mizuho Financial Group or generate 38.21% 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. Woori Financial Group
Performance |
Timeline |
Mizuho Financial |
Woori Financial Group |
Mizuho Financial and Woori Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mizuho Financial and Woori Financial
The main advantage of trading using opposite Mizuho Financial and Woori Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mizuho Financial position performs unexpectedly, Woori Financial 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 Woori Financial will offset losses from the drop in Woori Financial's long position.Mizuho Financial vs. HMN Financial | Mizuho Financial vs. Community West Bancshares | Mizuho Financial vs. First Financial Northwest | Mizuho Financial vs. Ponce Financial Group |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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