Correlation Between Hwangkum Steel and Jinro Distillers
Can any of the company-specific risk be diversified away by investing in both Hwangkum Steel 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 Hwangkum Steel and Jinro Distillers into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hwangkum Steel Technology and Jinro Distillers Co, you can compare the effects of market volatilities on Hwangkum Steel 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 Hwangkum Steel with a short position of Jinro Distillers. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hwangkum Steel and Jinro Distillers.
Diversification Opportunities for Hwangkum Steel and Jinro Distillers
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Hwangkum and Jinro is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Hwangkum Steel 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 Hwangkum Steel 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 Hwangkum Steel 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 Hwangkum Steel i.e., Hwangkum Steel and Jinro Distillers go up and down completely randomly.
Pair Corralation between Hwangkum Steel and Jinro Distillers
Assuming the 90 days trading horizon Hwangkum Steel Technology is expected to under-perform the Jinro Distillers. In addition to that, Hwangkum Steel is 1.86 times more volatile than Jinro Distillers Co. It trades about -0.03 of its total potential returns per unit of risk. Jinro Distillers Co is currently generating about -0.02 per unit of volatility. If you would invest 1,977,694 in Jinro Distillers Co on September 27, 2024 and sell it today you would lose (237,694) from holding Jinro Distillers Co or give up 12.02% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Hwangkum Steel Technology vs. Jinro Distillers Co
Performance |
Timeline |
Hwangkum Steel Technology |
Jinro Distillers |
Hwangkum Steel and Jinro Distillers Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hwangkum Steel and Jinro Distillers
The main advantage of trading using opposite Hwangkum Steel and Jinro Distillers positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hwangkum Steel 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.Hwangkum Steel vs. AptaBio Therapeutics | Hwangkum Steel vs. Wonbang Tech Co | Hwangkum Steel vs. Busan Industrial Co | Hwangkum Steel vs. Busan Ind |
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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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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