Correlation Between Woori Technology and Jinro Distillers
Can any of the company-specific risk be diversified away by investing in both Woori Technology and Jinro Distillers 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 Jinro Distillers into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Woori Technology and Jinro Distillers Co, you can compare the effects of market volatilities on Woori Technology and Jinro Distillers 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 Jinro Distillers. Check out your portfolio center. Please also check ongoing floating volatility patterns of Woori Technology and Jinro Distillers.
Diversification Opportunities for Woori Technology and Jinro Distillers
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Woori and Jinro is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding Woori Technology and Jinro Distillers Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jinro Distillers 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 are associated (or correlated) with Jinro Distillers. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jinro Distillers has no effect on the direction of Woori Technology i.e., Woori Technology and Jinro Distillers go up and down completely randomly.
Pair Corralation between Woori Technology and Jinro Distillers
Assuming the 90 days trading horizon Woori Technology is expected to under-perform the Jinro Distillers. In addition to that, Woori Technology is 3.08 times more volatile than Jinro Distillers Co. It trades about -0.12 of its total potential returns per unit of risk. Jinro Distillers Co is currently generating about 0.03 per unit of volatility. If you would invest 1,717,000 in Jinro Distillers Co on September 27, 2024 and sell it today you would earn a total of 23,000 from holding Jinro Distillers Co or generate 1.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Woori Technology vs. Jinro Distillers Co
Performance |
Timeline |
Woori Technology |
Jinro Distillers |
Woori Technology and Jinro Distillers Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Woori Technology and Jinro Distillers
The main advantage of trading using opposite Woori Technology and Jinro Distillers positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Woori Technology position performs unexpectedly, Jinro Distillers 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 Jinro Distillers will offset losses from the drop in Jinro Distillers' long position.Woori Technology vs. Dongsin Engineering Construction | Woori Technology vs. Doosan Fuel Cell | Woori Technology vs. Daishin Balance 1 | Woori Technology vs. Total Soft Bank |
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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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
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