Correlation Between Woori Financial and Sangsin Energy
Can any of the company-specific risk be diversified away by investing in both Woori Financial and Sangsin Energy 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 Sangsin Energy 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 Sangsin Energy Display, you can compare the effects of market volatilities on Woori Financial and Sangsin Energy 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 Sangsin Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Woori Financial and Sangsin Energy.
Diversification Opportunities for Woori Financial and Sangsin Energy
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Woori and Sangsin is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding Woori Financial Group and Sangsin Energy Display in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sangsin Energy Display 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 Sangsin Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sangsin Energy Display has no effect on the direction of Woori Financial i.e., Woori Financial and Sangsin Energy go up and down completely randomly.
Pair Corralation between Woori Financial and Sangsin Energy
Assuming the 90 days trading horizon Woori Financial Group is expected to generate 0.65 times more return on investment than Sangsin Energy. However, Woori Financial Group is 1.55 times less risky than Sangsin Energy. It trades about 0.05 of its potential returns per unit of risk. Sangsin Energy Display is currently generating about -0.29 per unit of risk. If you would invest 1,610,788 in Woori Financial Group on September 2, 2024 and sell it today you would earn a total of 60,212 from holding Woori Financial Group or generate 3.74% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Woori Financial Group vs. Sangsin Energy Display
Performance |
Timeline |
Woori Financial Group |
Sangsin Energy Display |
Woori Financial and Sangsin Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Woori Financial and Sangsin Energy
The main advantage of trading using opposite Woori Financial and Sangsin Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Woori Financial position performs unexpectedly, Sangsin Energy 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 Sangsin Energy will offset losses from the drop in Sangsin Energy's long position.Woori Financial vs. PJ Metal Co | Woori Financial vs. Samyung Trading Co | Woori Financial vs. NH Investment Securities | Woori Financial vs. LB Investment |
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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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