Correlation Between Daejung Chemicals and RF Materials
Can any of the company-specific risk be diversified away by investing in both Daejung Chemicals and RF Materials 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 Daejung Chemicals and RF Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daejung Chemicals Metals and RF Materials Co, you can compare the effects of market volatilities on Daejung Chemicals and RF Materials 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 Daejung Chemicals with a short position of RF Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daejung Chemicals and RF Materials.
Diversification Opportunities for Daejung Chemicals and RF Materials
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Daejung and 327260 is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Daejung Chemicals Metals and RF Materials Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RF Materials and Daejung Chemicals 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 Daejung Chemicals Metals are associated (or correlated) with RF Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of RF Materials has no effect on the direction of Daejung Chemicals i.e., Daejung Chemicals and RF Materials go up and down completely randomly.
Pair Corralation between Daejung Chemicals and RF Materials
Assuming the 90 days trading horizon Daejung Chemicals Metals is expected to generate 0.39 times more return on investment than RF Materials. However, Daejung Chemicals Metals is 2.59 times less risky than RF Materials. It trades about -0.24 of its potential returns per unit of risk. RF Materials Co is currently generating about -0.2 per unit of risk. If you would invest 1,395,000 in Daejung Chemicals Metals on September 5, 2024 and sell it today you would lose (122,000) from holding Daejung Chemicals Metals or give up 8.75% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Daejung Chemicals Metals vs. RF Materials Co
Performance |
| Timeline |
| Daejung Chemicals Metals |
| RF Materials |
Daejung Chemicals and RF Materials Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Daejung Chemicals and RF Materials
The main advantage of trading using opposite Daejung Chemicals and RF Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daejung Chemicals position performs unexpectedly, RF Materials 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 RF Materials will offset losses from the drop in RF Materials' long position.| Daejung Chemicals vs. LG Chem | Daejung Chemicals vs. DukSan Neolux CoLtd | Daejung Chemicals vs. Sukgyung AT Co |
| RF Materials vs. SK Hynix | RF Materials vs. LX Semicon Co | RF Materials vs. Tokai Carbon Korea | RF Materials vs. People 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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