Correlation Between Hotel Shilla and RF Materials
Can any of the company-specific risk be diversified away by investing in both Hotel Shilla 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 Hotel Shilla and RF Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hotel Shilla Co and RF Materials Co, you can compare the effects of market volatilities on Hotel Shilla 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 Hotel Shilla with a short position of RF Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hotel Shilla and RF Materials.
Diversification Opportunities for Hotel Shilla and RF Materials
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Hotel and 327260 is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Hotel Shilla Co and RF Materials Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RF Materials and Hotel Shilla 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 Hotel Shilla Co 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 Hotel Shilla i.e., Hotel Shilla and RF Materials go up and down completely randomly.
Pair Corralation between Hotel Shilla and RF Materials
Assuming the 90 days trading horizon Hotel Shilla Co is expected to under-perform the RF Materials. But the stock apears to be less risky and, when comparing its historical volatility, Hotel Shilla Co is 2.61 times less risky than RF Materials. The stock trades about -0.08 of its potential returns per unit of risk. The RF Materials Co is currently generating about 0.68 of returns per unit of risk over similar time horizon. If you would invest 472,500 in RF Materials Co on October 23, 2024 and sell it today you would earn a total of 107,500 from holding RF Materials Co or generate 22.75% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Hotel Shilla Co vs. RF Materials Co
Performance |
| Timeline |
| Hotel Shilla |
| RF Materials |
Hotel Shilla and RF Materials Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Hotel Shilla and RF Materials
The main advantage of trading using opposite Hotel Shilla and RF Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hotel Shilla 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.| Hotel Shilla vs. Samsung Electronics Co | Hotel Shilla vs. Samsung Electronics Co | Hotel Shilla vs. LG Energy Solution | Hotel Shilla vs. SK Hynix |
| RF Materials vs. Pureun Mutual Savings | RF Materials vs. Samyoung Electronics Co | RF Materials vs. Korean Drug Co | RF Materials vs. KakaoBank Corp |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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