Correlation Between Woori Financial and Shinhan Financial
Can any of the company-specific risk be diversified away by investing in both Woori Financial and Shinhan 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 Woori Financial and Shinhan Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Woori Financial Group and Shinhan Financial Group, you can compare the effects of market volatilities on Woori Financial and Shinhan 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 Woori Financial with a short position of Shinhan Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Woori Financial and Shinhan Financial.
Diversification Opportunities for Woori Financial and Shinhan Financial
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Woori and Shinhan is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Woori Financial Group and Shinhan Financial Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shinhan Financial and Woori 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 Woori Financial Group are associated (or correlated) with Shinhan Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shinhan Financial has no effect on the direction of Woori Financial i.e., Woori Financial and Shinhan Financial go up and down completely randomly.
Pair Corralation between Woori Financial and Shinhan Financial
Allowing for the 90-day total investment horizon Woori Financial Group is expected to generate 0.58 times more return on investment than Shinhan Financial. However, Woori Financial Group is 1.71 times less risky than Shinhan Financial. It trades about 0.15 of its potential returns per unit of risk. Shinhan Financial Group is currently generating about -0.01 per unit of risk. If you would invest 3,454 in Woori Financial Group on August 27, 2024 and sell it today you would earn a total of 125.00 from holding Woori Financial Group or generate 3.62% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Woori Financial Group vs. Shinhan Financial Group
Performance |
| Timeline |
| Woori Financial Group |
| Shinhan Financial |
Woori Financial and Shinhan Financial Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Woori Financial and Shinhan Financial
The main advantage of trading using opposite Woori Financial and Shinhan Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Woori Financial position performs unexpectedly, Shinhan 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 Shinhan Financial will offset losses from the drop in Shinhan Financial's long position.| Woori Financial vs. Banco Santander Brasil | Woori Financial vs. CrossFirst Bankshares | Woori Financial vs. Banco Bradesco SA | Woori Financial vs. CF Bankshares |
| Shinhan Financial vs. Banco Santander Brasil | Shinhan Financial vs. CrossFirst Bankshares | Shinhan Financial vs. Banco Bradesco SA | Shinhan Financial vs. CF Bankshares |
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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