Correlation Between Pyung Hwa and RF Materials
Can any of the company-specific risk be diversified away by investing in both Pyung Hwa 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 Pyung Hwa and RF Materials 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 RF Materials Co, you can compare the effects of market volatilities on Pyung Hwa 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 Pyung Hwa with a short position of RF Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pyung Hwa and RF Materials.
Diversification Opportunities for Pyung Hwa and RF Materials
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Pyung and 327260 is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Pyung Hwa Industrial and RF Materials Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RF Materials 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 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 Pyung Hwa i.e., Pyung Hwa and RF Materials go up and down completely randomly.
Pair Corralation between Pyung Hwa and RF Materials
Assuming the 90 days trading horizon Pyung Hwa Industrial is expected to generate 0.52 times more return on investment than RF Materials. However, Pyung Hwa Industrial is 1.91 times less risky than RF Materials. It trades about -0.09 of its potential returns per unit of risk. RF Materials Co is currently generating about -0.07 per unit of risk. If you would invest 129,700 in Pyung Hwa Industrial on September 2, 2024 and sell it today you would lose (39,400) from holding Pyung Hwa Industrial or give up 30.38% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Pyung Hwa Industrial vs. RF Materials Co
Performance |
| Timeline |
| Pyung Hwa Industrial |
| RF Materials |
Pyung Hwa and RF Materials Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Pyung Hwa and RF Materials
The main advantage of trading using opposite Pyung Hwa and RF Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pyung Hwa 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.| Pyung Hwa vs. AptaBio Therapeutics | Pyung Hwa vs. Daewoo SBI SPAC | Pyung Hwa vs. Dream Security co | Pyung Hwa vs. Microfriend |
| RF Materials vs. SK Hynix | RF Materials vs. LX Semicon Co | RF Materials vs. People Technology | RF Materials vs. SIMMTECH Co |
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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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