Correlation Between Woori Financial and Sambo Corrugated
Can any of the company-specific risk be diversified away by investing in both Woori Financial and Sambo Corrugated 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 Sambo Corrugated 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 Sambo Corrugated Board, you can compare the effects of market volatilities on Woori Financial and Sambo Corrugated 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 Sambo Corrugated. Check out your portfolio center. Please also check ongoing floating volatility patterns of Woori Financial and Sambo Corrugated.
Diversification Opportunities for Woori Financial and Sambo Corrugated
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Woori and Sambo is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding Woori Financial Group and Sambo Corrugated Board in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sambo Corrugated Board 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 Sambo Corrugated. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sambo Corrugated Board has no effect on the direction of Woori Financial i.e., Woori Financial and Sambo Corrugated go up and down completely randomly.
Pair Corralation between Woori Financial and Sambo Corrugated
Assuming the 90 days trading horizon Woori Financial Group is expected to generate 1.32 times more return on investment than Sambo Corrugated. However, Woori Financial is 1.32 times more volatile than Sambo Corrugated Board. It trades about -0.06 of its potential returns per unit of risk. Sambo Corrugated Board is currently generating about -0.26 per unit of risk. If you would invest 1,610,000 in Woori Financial Group on September 12, 2024 and sell it today you would lose (47,000) from holding Woori Financial Group or give up 2.92% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Woori Financial Group vs. Sambo Corrugated Board
Performance |
Timeline |
Woori Financial Group |
Sambo Corrugated Board |
Woori Financial and Sambo Corrugated Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Woori Financial and Sambo Corrugated
The main advantage of trading using opposite Woori Financial and Sambo Corrugated positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Woori Financial position performs unexpectedly, Sambo Corrugated 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 Sambo Corrugated will offset losses from the drop in Sambo Corrugated's long position.Woori Financial vs. DB Insurance Co | Woori Financial vs. Pureun Mutual Savings | Woori Financial vs. Shinhan Financial Group | Woori Financial vs. iNtRON Biotechnology |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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