Correlation Between Woori Financial and Premium Brands
Can any of the company-specific risk be diversified away by investing in both Woori Financial and Premium Brands 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 Premium Brands 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 Premium Brands Holdings, you can compare the effects of market volatilities on Woori Financial and Premium Brands 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 Premium Brands. Check out your portfolio center. Please also check ongoing floating volatility patterns of Woori Financial and Premium Brands.
Diversification Opportunities for Woori Financial and Premium Brands
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Woori and Premium is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Woori Financial Group and Premium Brands Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Premium Brands Holdings 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 Premium Brands. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Premium Brands Holdings has no effect on the direction of Woori Financial i.e., Woori Financial and Premium Brands go up and down completely randomly.
Pair Corralation between Woori Financial and Premium Brands
Allowing for the 90-day total investment horizon Woori Financial Group is expected to generate 0.67 times more return on investment than Premium Brands. However, Woori Financial Group is 1.49 times less risky than Premium Brands. It trades about 0.0 of its potential returns per unit of risk. Premium Brands Holdings is currently generating about -0.07 per unit of risk. If you would invest 3,606 in Woori Financial Group on September 4, 2024 and sell it today you would lose (20.00) from holding Woori Financial Group or give up 0.55% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Woori Financial Group vs. Premium Brands Holdings
Performance |
Timeline |
Woori Financial Group |
Premium Brands Holdings |
Woori Financial and Premium Brands Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Woori Financial and Premium Brands
The main advantage of trading using opposite Woori Financial and Premium Brands positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Woori Financial position performs unexpectedly, Premium Brands 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 Premium Brands will offset losses from the drop in Premium Brands' long position.Woori Financial vs. Shinhan Financial Group | Woori Financial vs. KB Financial Group | Woori Financial vs. Banco De Chile | Woori Financial vs. Orix Corp Ads |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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