Correlation Between Pyung Hwa and Daejung Chemicals
Can any of the company-specific risk be diversified away by investing in both Pyung Hwa and Daejung Chemicals 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 Pyung Hwa and Daejung Chemicals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pyung Hwa Industrial and Daejung Chemicals Metals, you can compare the effects of market volatilities on Pyung Hwa and Daejung Chemicals 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 Pyung Hwa with a short position of Daejung Chemicals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pyung Hwa and Daejung Chemicals.
Diversification Opportunities for Pyung Hwa and Daejung Chemicals
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Pyung and Daejung is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Pyung Hwa Industrial and Daejung Chemicals Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Daejung Chemicals Metals and Pyung Hwa 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 Pyung Hwa Industrial are associated (or correlated) with Daejung Chemicals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Daejung Chemicals Metals has no effect on the direction of Pyung Hwa i.e., Pyung Hwa and Daejung Chemicals go up and down completely randomly.
Pair Corralation between Pyung Hwa and Daejung Chemicals
Assuming the 90 days trading horizon Pyung Hwa Industrial is expected to generate 3.64 times more return on investment than Daejung Chemicals. However, Pyung Hwa is 3.64 times more volatile than Daejung Chemicals Metals. It trades about 0.17 of its potential returns per unit of risk. Daejung Chemicals Metals is currently generating about 0.06 per unit of risk. If you would invest 87,000 in Pyung Hwa Industrial on December 5, 2024 and sell it today you would earn a total of 51,000 from holding Pyung Hwa Industrial or generate 58.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Pyung Hwa Industrial vs. Daejung Chemicals Metals
Performance |
Timeline |
Pyung Hwa Industrial |
Daejung Chemicals Metals |
Pyung Hwa and Daejung Chemicals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pyung Hwa and Daejung Chemicals
The main advantage of trading using opposite Pyung Hwa and Daejung Chemicals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pyung Hwa position performs unexpectedly, Daejung Chemicals 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 Daejung Chemicals will offset losses from the drop in Daejung Chemicals' long position.Pyung Hwa vs. CKH Food Health | Pyung Hwa vs. Netmarble Games Corp | Pyung Hwa vs. PJ Metal Co | Pyung Hwa vs. Daejung Chemicals Metals |
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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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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