Correlation Between PJ Metal and Hwangkum Steel
Can any of the company-specific risk be diversified away by investing in both PJ Metal and Hwangkum Steel 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 PJ Metal and Hwangkum Steel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PJ Metal Co and Hwangkum Steel Technology, you can compare the effects of market volatilities on PJ Metal and Hwangkum Steel 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 PJ Metal with a short position of Hwangkum Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of PJ Metal and Hwangkum Steel.
Diversification Opportunities for PJ Metal and Hwangkum Steel
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between 128660 and Hwangkum is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding PJ Metal Co and Hwangkum Steel Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hwangkum Steel Technology and PJ Metal 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 PJ Metal Co are associated (or correlated) with Hwangkum Steel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hwangkum Steel Technology has no effect on the direction of PJ Metal i.e., PJ Metal and Hwangkum Steel go up and down completely randomly.
Pair Corralation between PJ Metal and Hwangkum Steel
Assuming the 90 days trading horizon PJ Metal Co is expected to under-perform the Hwangkum Steel. But the stock apears to be less risky and, when comparing its historical volatility, PJ Metal Co is 1.1 times less risky than Hwangkum Steel. The stock trades about -0.15 of its potential returns per unit of risk. The Hwangkum Steel Technology is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 490,000 in Hwangkum Steel Technology on November 4, 2024 and sell it today you would earn a total of 4,500 from holding Hwangkum Steel Technology or generate 0.92% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
PJ Metal Co vs. Hwangkum Steel Technology
Performance |
| Timeline |
| PJ Metal |
| Hwangkum Steel Technology |
PJ Metal and Hwangkum Steel Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with PJ Metal and Hwangkum Steel
The main advantage of trading using opposite PJ Metal and Hwangkum Steel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PJ Metal position performs unexpectedly, Hwangkum Steel 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 Hwangkum Steel will offset losses from the drop in Hwangkum Steel's long position.| PJ Metal vs. Seah Steel Corp | PJ Metal vs. Insun Environment New | PJ Metal vs. Daechang Steel Co | PJ Metal vs. SKONEC Entertainment Co |
| Hwangkum Steel vs. Bookook Steel | Hwangkum Steel vs. Wonil Special Steel | Hwangkum Steel vs. Insung Information Co | Hwangkum Steel vs. Dong A Steel Technology |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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