Correlation Between Youl Chon and Woori Financial
Can any of the company-specific risk be diversified away by investing in both Youl Chon 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 Youl Chon and Woori Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Youl Chon Chemical and Woori Financial Group, you can compare the effects of market volatilities on Youl Chon 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 Youl Chon with a short position of Woori Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Youl Chon and Woori Financial.
Diversification Opportunities for Youl Chon and Woori Financial
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Youl and Woori is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Youl Chon Chemical 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 Youl Chon 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 Youl Chon Chemical 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 Youl Chon i.e., Youl Chon and Woori Financial go up and down completely randomly.
Pair Corralation between Youl Chon and Woori Financial
Assuming the 90 days trading horizon Youl Chon Chemical is expected to under-perform the Woori Financial. In addition to that, Youl Chon is 2.13 times more volatile than Woori Financial Group. It trades about -0.03 of its total potential returns per unit of risk. Woori Financial Group is currently generating about 0.0 per unit of volatility. If you would invest 1,592,000 in Woori Financial Group on September 26, 2024 and sell it today you would lose (18,000) from holding Woori Financial Group or give up 1.13% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Youl Chon Chemical vs. Woori Financial Group
Performance |
Timeline |
Youl Chon Chemical |
Woori Financial Group |
Youl Chon and Woori Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Youl Chon and Woori Financial
The main advantage of trading using opposite Youl Chon and Woori Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Youl Chon 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.Youl Chon vs. AptaBio Therapeutics | Youl Chon vs. Wonbang Tech Co | Youl Chon vs. Busan Industrial Co | Youl Chon vs. Busan Ind |
Woori Financial vs. Miwon Chemical | Woori Financial vs. Sangsangin Investment Securities | Woori Financial vs. SK Chemicals Co | Woori Financial vs. Youl Chon Chemical |
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 Valuation module to check real value of public entities based on technical and fundamental data.
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