Correlation Between Woori Technology and Hankukpackage
Can any of the company-specific risk be diversified away by investing in both Woori Technology and Hankukpackage 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 Technology and Hankukpackage into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Woori Technology Investment and Hankukpackage Co, you can compare the effects of market volatilities on Woori Technology and Hankukpackage 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 Technology with a short position of Hankukpackage. Check out your portfolio center. Please also check ongoing floating volatility patterns of Woori Technology and Hankukpackage.
Diversification Opportunities for Woori Technology and Hankukpackage
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Woori and Hankukpackage is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Woori Technology Investment and Hankukpackage Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hankukpackage and Woori Technology 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 Technology Investment are associated (or correlated) with Hankukpackage. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hankukpackage has no effect on the direction of Woori Technology i.e., Woori Technology and Hankukpackage go up and down completely randomly.
Pair Corralation between Woori Technology and Hankukpackage
Assuming the 90 days trading horizon Woori Technology Investment is expected to generate 2.18 times more return on investment than Hankukpackage. However, Woori Technology is 2.18 times more volatile than Hankukpackage Co. It trades about -0.02 of its potential returns per unit of risk. Hankukpackage Co is currently generating about -0.08 per unit of risk. If you would invest 825,000 in Woori Technology Investment on October 25, 2024 and sell it today you would lose (91,000) from holding Woori Technology Investment or give up 11.03% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Woori Technology Investment vs. Hankukpackage Co
Performance |
Timeline |
Woori Technology Inv |
Hankukpackage |
Woori Technology and Hankukpackage Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Woori Technology and Hankukpackage
The main advantage of trading using opposite Woori Technology and Hankukpackage positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Woori Technology position performs unexpectedly, Hankukpackage 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 Hankukpackage will offset losses from the drop in Hankukpackage's long position.Woori Technology vs. Humasis Co | Woori Technology vs. JUSUNG ENGINEERING Co | Woori Technology vs. Winix Inc | Woori Technology vs. AfreecaTV Co |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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